software development presentation topics

151+ Computer Presentation Topics [Updated 2024]

For both professionals and fans, keeping up with the most recent developments and trends in the rapidly evolving field of technology is essential. One effective way to share and acquire knowledge is through computer presentations. 

Whether you are a seasoned presenter or someone looking to enhance your tech presentation skills, choosing the right topics is key to delivering a compelling and informative session. 

In this blog, we’ll explore various computer presentation topics, their relevance, and provide insights into tailoring presentations for different audiences and occasions.

How do you Tailor Topics According to Audience and Occasion?

Table of Contents

Tailoring topics according to the audience and occasion is a crucial aspect of delivering an effective and engaging presentation. Here are some strategies and considerations to help you customize your computer presentation topics based on your audience and the specific occasion:

• Know Your Audience
• Assess Knowledge Levels: Understand the expertise of your audience. Are they beginners, intermediate users, or experts in the field? This assessment will guide you in selecting the appropriate depth and complexity of your topics.
• Consider Backgrounds: Take into account the professional backgrounds, interests, and industries of your audience. Tailor your examples and case studies to resonate with their experiences.
• Identify Audience Needs and Goals:
• Address Pain Points: If possible, research or survey your audience to identify their challenges and pain points. Tailor your presentation to address these concerns, providing practical solutions and insights.
• Align with Goals: Understand the goals and objectives of your audience. Tailor your topics to align with their aspirations, whether it’s professional development, problem-solving, or staying updated on industry trends.
• Adapt to the Occasion:
• Event Type: Consider the type of event you are presenting at. Is it a conference, workshop, seminar, or a more informal gathering? The format and expectations of the event will influence your choice of topics.
• Time Constraints: Be mindful of the time allotted for your presentation. Tailor the scope and depth of your topics to fit within the designated time frame.
• Customize Content:
• Relevance to Industry: If your audience belongs to a specific industry, tailor your topics to address challenges and innovations relevant to that industry. Provide concrete examples and case studies that resonate with their professional experiences.
• Localize Examples: Consider the cultural context and geographic location of your audience. If possible, use examples and references that are familiar to them, making the content more relatable.
• Engage in Interactivity:
• Q&A Sessions: Plan for interactive sessions, allowing the audience to ask questions. This helps you gauge their interests and tailor your responses to address specific concerns.
• Polls and Surveys: Incorporate interactive elements such as polls or surveys to gather real-time feedback. Use the results to adjust your presentation on the fly if necessary.
• Provide Actionable Takeaways:
• Practical Applications: Tailor your topics to include practical applications and actionable takeaways. Ensure that your audience can apply the knowledge gained from your presentation in their professional or personal endeavors.
• Workshops and Demos: For hands-on sessions, tailor your topics to include workshops or live demonstrations. This enhances the learning experience and allows the audience to see practical implementations.
• Be Adaptable:
• Read the Room: Pay attention to the audience’s reactions during the presentation. Be adaptable and ready to adjust your approach based on their engagement levels and feedback.
• Flexibility in Content: Have backup content or supplementary materials that can be introduced based on audience interest or questions.

Software Development and Programming

• Trends in Programming Languages: A Comprehensive Overview
• Introduction to Python: Basics and Beyond
• Exploring the World of JavaScript Frameworks
• Best Practices in Software Development Methodologies
• The Evolution of Mobile App Development
• Low-Code Platforms: Revolutionizing Software Development
• The Impact of Microservices Architecture on Modern Applications
• DevOps Practices: Streamlining Development and Operations
• Code Review Techniques for Quality Assurance
• GUI vs. Command Line Interfaces: Pros and Cons

Emerging Technologies

• Artificial Intelligence (AI): An Introduction and Applications
• Machine Learning Algorithms: A Deep Dive
• The Role of Natural Language Processing (NLP) in AI
• Computer Vision: Applications and Challenges
• Internet of Things (IoT) and its Transformative Power
• Blockchain Technology: Beyond Cryptocurrencies
• Augmented Reality (AR) and Virtual Reality (VR) in Computing
• Edge Computing: Enhancing Network Performance
• Quantum Computing: A Glimpse into the Future
• 6G Technology: Enabling the Next Generation of Connectivity

Cybersecurity

• Cyber Threats: Types, Trends, and Prevention Strategies
• Ethical Hacking: Unveiling Security Vulnerabilities
• Biometric Security Systems: Enhancing Authentication
• Cryptography: Ensuring Secure Communication
• Security Measures for Computer Networks: A Practical Guide
• Privacy Concerns in the Digital Age: Safeguarding Information
• Incident Response Planning for Cybersecurity
• Cloud Security Best Practices
• Cybersecurity Awareness Training for Employees
• The Future of Cybersecurity: Emerging Challenges

Data Science and Big Data

• Introduction to Data Science: Concepts and Applications
• Data Analysis Techniques: From Descriptive to Predictive Analytics
• Big Data Technologies: Hadoop, Spark, and Beyond
• Data Warehousing: Storing and Retrieving Massive Datasets
• Data Visualization Tools: Making Sense of Complex Data
• Predictive Modeling in Business: Leveraging Data Insights
• Internet of Things (IoT) and Big Data Integration
• Real-Time Analytics: Turning Data into Actionable Insights
• Data Ethics: Navigating the Challenges of Responsible Data Use
• Data-driven Decision Making in Organizations

Computer Hardware and Networking

• Latest Advancements in Computer Hardware
• The Role of Graphics Processing Units (GPUs) in Modern Computing
• Networking Protocols: A Deep Dive into TCP/IP, UDP, and More
• Wireless Technologies: Wi-Fi 6 and Beyond
• Cloud Computing Models: IaaS, PaaS, and SaaS Explained
• Edge Computing vs. Cloud Computing: Choosing the Right Approach
• Green Computing: Sustainable Practices in IT
• Quantum Computing and its Potential Impact on Industry
• 5G Technology: Revolutionizing Mobile Communication
• Wearable Technology: Integrating Computing into Everyday Life

Artificial Intelligence (AI) Applications

• AI in Healthcare: Transforming Diagnosis and Treatment
• AI in Finance: Applications and Risk Management
• AI in Customer Service: Enhancing User Experience
• AI in Education: Personalized Learning and Assessment
• AI in Autonomous Vehicles: Navigating the Future
• AI in Agriculture: Precision Farming and Crop Monitoring
• AI in Cybersecurity: Detecting and Preventing Threats
• AI in Natural Language Processing (NLP): Conversational Interfaces
• AI in Robotics: Innovations and Challenges
• AI in Retail: Personalized Shopping Experiences

Internet and Web Technologies

• Evolution of the Internet: From ARPANET to the Present
• Web Development Trends: Responsive Design and Progressive Web Apps
• Content Management Systems (CMS): Choosing the Right Platform
• E-commerce Platforms: Building Successful Online Stores
• Search Engine Optimization (SEO) Strategies for Web Visibility
• Cloud-based Web Hosting Solutions: Comparisons and Best Practices
• Web Accessibility: Designing Inclusive and User-Friendly Websites
• Social Media Integration: Enhancing Online Presence
• Web Security Best Practices: SSL, HTTPS, and Beyond
• The Future of the Internet: Trends and Predictions

Mobile Technologies

• Mobile Operating Systems: A Comparison of iOS and Android
• Mobile App Monetization Strategies: Ads, Subscriptions, and Freemium Models
• Cross-platform Mobile Development: Pros and Cons
• Mobile Payment Technologies: From NFC to Cryptocurrencies
• Mobile Health (mHealth) Applications: Improving Healthcare Access
• Location-based Services in Mobile Apps: Opportunities and Challenges
• Mobile Gaming Trends: Augmented Reality and Multiplayer Experiences
• The Impact of 5G on Mobile Applications
• Mobile App Testing: Ensuring Quality User Experiences
• Mobile Security: Protecting Devices and User Data

Human-Computer Interaction (HCI)

• User Experience (UX) Design Principles: Creating Intuitive Interfaces
• Usability Testing Methods: Evaluating the User-Friendliness of Products
• Interaction Design Patterns: Enhancing User Engagement
• Accessibility in Design: Designing for All Users
• Virtual Reality (VR) and User Experience: Design Considerations
• Gamification in User Interface Design: Enhancing Engagement
• Voice User Interface (VUI) Design: Building Natural Interactions
• Biometric User Authentication: Balancing Security and Convenience
• The Evolution of Graphical User Interfaces (GUIs)
• Wearable Technology Design: Integrating Fashion and Functionality

Cloud Computing

• Cloud Service Models: IaaS, PaaS, and SaaS Explained
• Cloud Deployment Models: Public, Private, and Hybrid Clouds
• Cloud Security Best Practices: Protecting Data in the Cloud
• Serverless Computing: Streamlining Application Development
• Cloud Computing in Business: Cost Savings and Scalability
• Cloud-Native Technologies: Containers and Orchestration
• Microservices Architecture in the Cloud: Breaking Down Monoliths
• Cloud Computing Trends: Edge Computing and Multi-cloud Strategies
• Cloud Migration Strategies: Moving Applications to the Cloud
• Cloud Computing in Healthcare: Enhancing Patient Care

Robotics and Automation

• Robotics in Manufacturing: Increasing Efficiency and Precision
• Autonomous Robots: Applications and Challenges
• Humanoid Robots: Advancements in AI-driven Robotics
• Robotic Process Automation (RPA): Streamlining Business Processes
• Drones in Industry: Surveillance, Delivery, and Beyond
• Surgical Robotics: Innovations in Medical Procedures
• Robotic Exoskeletons: Assisting Human Mobility
• Social Robots: Interacting with Humans in Various Settings
• Ethical Considerations in Robotics and AI
• The Future of Robotics: Trends and Predictions

Ethical Considerations in Technology

• Responsible AI: Ethical Considerations in Artificial Intelligence
• Data Privacy Laws: Navigating Compliance and Regulations
• Bias in Algorithms: Addressing and Mitigating Unintended Consequences
• Ethical Hacking: Balancing Security Testing and Privacy Concerns
• Technology and Mental Health: Addressing Digital Well-being
• Environmental Impact of Technology: Green Computing Practices
• Open Source Software: Community Collaboration and Ethical Licensing
• Technology Addiction: Understanding and Combating Dependencies
• Social Media Ethics: Privacy, Fake News, and Cyberbullying
• Ethical Considerations in Biometric Technologies

Future Trends in Technology

• The Future of Computing: Quantum Computing and Beyond
• Edge AI: Bringing Intelligence to the Edge of Networks
• Biocomputing: Merging Biology and Computing
• Neurotechnology: Brain-Computer Interfaces and Cognitive Enhancement
• Sustainable Technologies: Innovations in Green Computing
• 7G and Beyond: Envisioning the Next Generation of Connectivity
• Space Technology and Computing: Exploring the Final Frontier
• Biohacking and DIY Tech: A Look into Citizen Science
• Tech for Social Good: Using Technology to Address Global Challenges
• The Convergence of Technologies: AI, IoT, Blockchain, and More

Miscellaneous Topics

• Technology and Education: Transforming Learning Experiences
• Digital Transformation: Strategies for Modernizing Businesses
• Tech Startups: Navigating Challenges and Achieving Success
• Women in Technology: Empowering Diversity and Inclusion
• The History of Computing: Milestones and Innovations
• Futuristic Interfaces: Brain-Computer Interfaces and Holography
• Tech and Art: Exploring the Intersection of Creativity and Technology
• Hackathons: Fostering Innovation in Tech Communities
• The Role of Technology in Disaster Management
• Exploring Careers in Technology: Opportunities and Challenges

Tips for Effective Computer Presentations

• Mastering the Art of Public Speaking in the Tech Industry
• Designing Engaging Visuals for Technical Presentations
• The Dos and Don’ts of Live Demonstrations in Tech Presentations
• Building a Compelling Narrative: Storytelling Techniques in Tech Talks
• Handling Q&A Sessions: Tips for Addressing Audience Questions
• Time Management in Tech Presentations: Balancing Content and Interaction
• Incorporating Humor in Technical Presentations: Dos and Don’ts
• Creating Interactive Workshops: Engaging Audiences in Hands-on Learning
• Leveraging Social Media for Tech Presentations: Tips for Promotion
• Continuous Learning in the Tech Industry: Strategies for Staying Informed

Case Studies and Real-World Applications

Real-world examples and case studies add practical relevance to computer presentations. Showcase successful projects, discuss challenges faced, and share lessons learned. 

Analyzing the impact of technology in real-world scenarios provides valuable insights for the audience and encourages a deeper understanding of the subject matter.

Future Trends in Computer Presentation Topics

Predicting future trends in technology is both exciting and challenging. Presenters can offer insights into upcoming technological developments, anticipate challenges and opportunities, and encourage continuous learning in the rapidly evolving tech landscape.

Discussing the potential impact of technologies like 6G, augmented reality, or advancements in quantum computing sparks curiosity and keeps the audience abreast of the latest innovations.

In conclusion, computer presentations serve as powerful tools for knowledge sharing and skill development in the tech industry. Whether you’re presenting to novices or seasoned professionals, the choice of topics, presentation skills, and a thoughtful approach to ethical considerations can elevate the impact of your presentation. 

As technology continues to evolve, staying informed and exploring diverse computer presentation topics will be instrumental in fostering a culture of continuous learning and innovation. 

Embrace the dynamic nature of technology and embark on a journey of exploration and enlightenment through engaging computer presentations.

Related Posts

Step by Step Guide on The Best Way to Finance Car

The Best Way on How to Get Fund For Business to Grow it Efficiently

How to Make Interesting Presentations for Software Projects .

No matter how good your website or app might be, if you cannot communicate its value to your client or employer, your hard work will be overlooked. Here's a guide on how to create interesting presentations for your next software project.

Know Your Presentation Audience

Don't start by just slapping a bunch of slides together. Instead take a moment and think about who you're going to present to. This might be your boss, a potential client or an interested crowd at a conference. Think about the background knowledge your audience will posses or what it might be missing out on. Reflect on their interests. Most of the time people are not attending presentations just because they like hearing you talk. So figure out what they're looking to get out of your presentation. This might be technical knowledge, inspiration as well as strategical or economical insights.

Besides knowing such on-topic aspects about your audience, it could also come in handy to have some general conditions on your mind. This might include the time your audience is willing to spend with you. Will your listeners be relaxed or are they in a hurry and barely able to attend your presentation? You don't want people to miss your key points because they already had to leave.

Define a Goal for Your Presentation

Now that you know the people you'll be talking to, you can figure out what to give them. What's the message you want to get across? What's the goal you're trying to achieve with your presentation? You might want to get support for your next software project. You'd like to get funding for building a website or app. Maybe you're trying to sell some software you've created. Or maybe you want to show the progress of your software project to your employer or client.

Defining a specific goal for presenting your software makes crafting the actual presentation a lot easier. At every step you can ask yourself whether some slide you're going to show or a certain thing you're going to say is beneficial for reaching that goal - if it's not, throw it out.

Outline A Story

Creating a story doesn't mean you have to write a screenplay. Instead construct a cohesive outline for your presentation. I like doing this by creating some placeholder slides with certain keywords and topics. Make sure that every part of your presentation fits with the next one so that your listeners won't get lost.

I'm not a book author, but just like design has it's principles, storytelling has some as well. Start with a brief setup explaining what your presentation is all about and foreshadow where the story will be going. It's highly subjective whether a story is good. Relatability is a key factor for liking a story - that's why you researched your audience. Now you can carefully select on which parts you'd like to go into details.

All good stories have a twist. It's still a presentation so there might just not be a real twist to your topic. Still, what I mean by that is don't spill all your beans in the first five minutes. Try to intrigue the audience by leading up to something. That could be the demonstration of your software, some exciting feature or the results of a proof-of-concept trial.

Address obstacles you overcame along the way, but don't make yourself look bad by mentioning every mistake you made - that's not an interesting story, is it?

Slide Design

Don't get me wrong, I know that some people are that good at public speaking, their slides don't matter. Other times you might not even need slides and rather just stand there by yourself or with some other props. However, when presenting software projects, having some slides is usually a good idea because it's pretty difficult to convey designs and technical concepts with words only. Having off-putting slides though might still be worse than having none at all. Here are some tips that can go a long way.

Less Text, More Content

You've probably heard some arbitrary upper limit for bullet points to slap on a slide - like no more than four or five. The problem with this rule is how people apply it: they just move their remaining bullet points to the next slide.

You'll get out of this dilemma, if you stop thinking in bullet points. Instead focus on the goal of your presentation and design slides that'll help you reach it. Below you can see some layouts I like to use.

Replace text with graphics wherever possible. People are naturally more receptive for graphical representations. An ad-hoc diagram you create directly on the slide can convey much more than plain bullet points. It does so by the means of boundaries, grouping and connections.

When doing these kind of diagrams don't try to fit everything in them. Focus again on what kind of understanding you want to achieve. You can also leverage diagram standards like UML or BPMN, but keep in mind that not everyone knows these notations by heart. Some plain boxes and arrows can go a long way and it's better to have a simple diagram that's helping people instead of a complex one that's not.

If you've developed a website or app, or anything with a user interface really, you've probably got a lot to show. You can also include design iterations describing how you got to your final result. However, don't bore people by showing every single interface (or state of the same interface) there is.

It can also be illustrative to see a mockup of your project in action - like someone holding a phone with your app open or a laptop showing your website. This will display your product in a professional and realistic look allowing people to easily picture themselves using it.

You'll find mockup resources and templates on graphics marketplaces which you can then assemble using photo editing software like Photoshop.

If you prefer an easier solution that doesn't require you to search for assets and install software, try SceneLab. Just drop your images onto phone, tablet or laptop screens right in your browser. You can choose from an ever-growing collection of professional design templates and adjust them to your needs with custom colors and texts.

Don't be afraid to sacrifice a whole slide to one word or number - the impact will be worth it. This could be the number of users you have, the revenue your app made or how many orders your software processed. You might also put a quote from some famous figure to give your statements more weight - though don't overdo it with that, rule of thumb: one quote max per presentation.

When you're showing images you never want to ask during presentation whether everyone can make out what's on it. Either zoom into the parts you're talking about or slice up the image.

Simple and Consistent

Limit yourself to a few font configurations consisting of font-family, font-size, font-style and color. This will give your presentation a clean look and provide consistency. Also, especially when working with little diagrams like shown above, try to work meaning into your color coding by using the same colors for roughly the same things.

Having a limited set of layouts can also be beneficial because it will allow viewers to know faster where they should be looking.

One thing I also sometimes like to do is picking an icons for each specific topic and use those consistently throughout the presentation. This could be a map when you're talking about how you planned things out or a target when it's about goals reached. If you keep to a handful different icons, you'll make these topics easily recognizable allowing you to spice up what would've otherwise been just text.

Templates & Resources

I often see people creating their presentation with a theme based on a popular movie or show. I'd advise you to refrain from doing so as you probably don't want to get into problems with copyright infringement when your slides or a video of your presentation end up on the web. Rather stay with unlicensed resources and give credit where credit is due.

Just because you think you're not very skilled at design doesn't mean your presentation has to look bad - there are templates for that! SlidesCarnival and Slidesgo are great places for free-to-use presentation templates. They list them by color, style and occasion enabling you to always find something that fits your project. They come with inspiring placeholder slides, pre-defined color schemes and a bunch of icons.

Besides presentation templates you might also find these resources helpful:

• you can find royalty free stock images on Unsplash , Pixabay or Pexels .
• if you're looking for some sweet icons try flaticon .
• when you're in need of a stimulating quote go to BrainyQuote .

Showing your app or website in action or doing a live coding session is somewhat the holy grail of software presentation. They can leave a major impact but might seem a bit daunting. The key here is preparation and some practice. Figure out the conditions for your demo and prepare accordingly:

• Will you have access to internet? Can your demo work without internet?
• What kind of connections are available for the projector? Bring your own adapters if necessary.
• Does your demo rely on external services (like some API) and what will you do if those services are not available?

When all falls apart skip the demonstration or, even better, have a pre-recorded video of it ready to show. This way you won't waste your precious presentation time and the audience's attention span on fixing your demonstration.

Also, for a professional impression, do some cleaning up. Clear your desktop of anything that's not related to the presentation. Close every program you don't need as you probably don't want to have delicate mail notifications during showtime. Hide the bookmarks bar of your browser not only to keep those from prying eyes but also to have more room when showing a website or web app.

Practicing Your Presentation

Practicing your presentation will not only make you more confident, you'll also know roughly how long it's going to take. Therefore don't rush while practicing because it's just practice .

You can write down some speaking notes but don't script your presentation to a point where it feels awkward. It's not the end of the world if you say something differently or forget to say it at all - after all a presentation is a live performance.

It can also be really helpful to have a test audience while practicing. This will make transitioning to a real audience much easier and you get valuable feedback early on. If there's no one available, you could still record yourself using your phone.

Following some basic steps will give you a solid foundation for crafting presentations. Knowing your audience, having a clearly defined goal and proper slides might also reduce stage fright, allowing you to have a good time when presenting your next software project. By having a focus on content, not being afraid to go bold and some consistency your slides will help you communicate your message much better. With a professional presentation template your slides are almost guaranteed to be interesting. Throw a carefully prepared live demonstration and some practice into the mix and you're ready!

Nils Mehlhorn

Co-Founder of SceneLab & Software Engineer

Introducing Graphics Mockup Tooling

Over the last months we've been working intensively on an exciting new feature for SceneLab. Now, we're proud to roll-out extensive mockup…

Improving Website Headers Using Hero Images

As we visit a website, our attention is naturally drawn to the most prominent areas because our brains can't process all information at once…

Stay connected

Subscribe to our newsletter.

• What is Software Development

Agile Software Development

• Software Developer
• SDE Roadmap
• SDE Interview Guide
• SDE Companies
• Types of Software Development
• Learn Product Management
• Software Engineering Tutorial
• Software Testing Tutorial
• Project Management Tutorial
• Agile Methodology
• Selenium Basics
• Software Development | Introduction, SDLC, Roadmap, Courses
• What is Software Development?
• Software Development Life Cycle (SDLC)
• Software Development Models - SDLC Models

Top Software Development Topics to prepare for Interview

• Software Developer (SDE) Interview/Placement Preparation Guide

Software Development Evolution & Trends

• Evolution of Software Development | History, Phases and Future Trends
• 10 Reasons Why Software Development is Important ?
• Top 12 Software Development Languages [2024]
• Latest Software Development Technology/Trends to look out for [2024]
• Most Popular Software Development Companies in India 2023-2024

Software Development Life Cycle

• Software Development Process
• Software paradigm and Software Development Life Cycle (SDLC)
• Top 5 SDLC(Software Development Life Cycle ) Methodologies
• Bug Life Cycle in Software Development
• Software Development Process Step by Step Guide | Requirement, Plan, Design, Develop & Deploy
• Role of Verification and Validation (V&V) in SDLC
• Software Quality - Software Engineering
• Software Testing Life Cycle (STLC)

Software Development Models & Methodologies

• What is SDLC(Software Development Life Cycle) and its phases
• 5 Most Commonly used Software Development Methodologies
• Top 8 Software Development Life Cycle (SDLC) Models used in Industry
• Waterfall Model - Software Engineering
• Spiral Model - Software Engineering
• Advantages and Disadvantages of using Spiral Model
• SDLC V-Model - Software Engineering
• Prototyping Model - Software Engineering
• Rapid application development model (RAD) - Software Engineering
• Agile Software Development - Software Engineering
• Waterfall vs Agile Development | Software Development Life Cycle Models
• Agile Software Development Methodology | Framework, Principles, and Benefits
• Agile Development Models - Software Engineering
• Agile Methodology Advantages and Disadvantages
• Agile SDLC (Software Development Life Cycle)
• User Stories in Agile Software Development
• Crystal methods in Agile Development/Framework
• Agile Software Testing
• Agile Software Process and it's Principles
• What are the 4 Agile Values?
• Scrum (software development)
• Lean Software Development (LSD)

Software Developer Jobs

• Software Developer - Salary, Skills and Future Career
• Software Development Team: Designations & Structure
• 10 Crucial Team Roles in a Software Development Team
• Senior Software Engineer Job Description
• 7 Best Software Development Trends to Follow

Comparisons in Software Development

• Difference between Software Development, Web Development and App Development
• Difference between Traditional and Agile Software Development
• Competitive Programming vs Software Development - Where Should I Invest My Time?
• Difference between Full stack developer and Software developer
• Difference between Software Developer and Software Designer
• Difference between Agile and SDLC

Software Development Advanced Topics

• A Complete Overview of Android Software Development for Beginners
• What is Software Security - Definition and Best Practice?
• Introduction to Exploratory Style of Software Development
• How to Keep Your Skills Updated As a Software Developer?
• Characteristics of Adaptive Software Development

Software development refers to a set of computer science activities dedicated to the process of creating, designing, deploying, and supporting software.

Table of Content

Programming language

Data structures, system design, object-oriented design, distributed computing, operating systems, internet topics.

• General machine learning and artificial intelligence

Before attending an interview for a technical career, you do not need to know any specific programming language. However, familiarity with a major language is usually required for success. You should be familiar with the syntax of programming languages such as

• Objective-C

You should also know some of the languages’ nuances, such as how memory management works or the most commonly used collections, libraries, etc.

The majority of software development labor requires storing and making data accessible effectively and efficiently. This requires a strong background in data structures. You’ll need to understand the inner workings of common data structures and be able to compare and contrast their use in various applications. You will be expected to know the runtimes for common operations as well as how they use memory.

For your interview, you don’t have to know all the algorithms off by heart. However, it will be much simpler to answer some of the questions if you have a solid understanding of the most popular algorithms. Consider revising common algorithms such as divide and conquer, breadth-first search vs. depth-first search, and traversals, and make sure you understand the trade-offs for each. Knowing the runtimes, theoretical limitations and basic implementation strategies of different classes of algorithms is more important than memorizing the specific details of any given algorithm.

Greedy Algorithm

Dynamic programming, pattern searching, graph algorithm.

Nowadays System Design has become the favorite topic of interviewers. it is one of the most important concepts because if you want to create scalable and robust software you should be aware of the basic concept of system Design. it is a blueprint of software in which we deeply go through the actual requirements of the client and then deeply analyze the architecture, components, modules, interfaces, and data for a system to satisfy specified requirements. let’s discuss the High-Level Design(HLD) and Low-Level Design(LLD) .

• Low-Level Design(LLD) : in LLD the programmer involved in the internal implementation of software and it will create solutions for software-specific problems and designs like what kind of specific t and algorithms are would be best for the software.
• High-Level Design(HLD) : in HLD the programmer deeply goes through the overall performance of the system not only the development of its specific requirements it also checks different factors like scalability, and robustness and it describes the overall description/architecture of the application.

It’s a good idea to clear the cobwebs and practice coding with a pen and paper if your skills in programming without an IDE or in a particular language are rusty. Expect to be asked to write syntactically correct code rather than pseudo code. The most important thing a software development engineer does is write scalable, robust, and well-tested code. These are the main evaluation criteria for your code. A good rule of thumb is to check for edge cases and make sure that no bad input can go through. This is your chance to show off your coding ability.

Good System design is paramount to extensible, bug-free, durable code. We know that there are nearly infinite ways to resolve any software issue, but when it comes to software extensibility and maintenance, good software development is essential. One way to build lasting software is to use object-oriented design best practices. You should have a working knowledge of a few common and useful design patterns and know how to write software in an object-oriented way. You probably won’t be asked to give detailed descriptions of how specific design patterns work, but expect to have to defend your design choices.

The vast majority of software written by Software Development Engineers (SDEs) is stored on data-storage systems. A lot of the issues faced by techs come from figuring out the best way to get and hold data for the future. You’ll need to be familiar with the general concepts of databases and their uses. The more familiar you are with the trade-offs that exist between a relational database and a non-relational database, the better off you’ll be.

Systems in any scalable enterprise operate under very tight tolerances at high loads. As a result, you’ll need to be familiar with some of the basics of distributed computing. Understanding topics like service-oriented architectures (SOA), map-reduce (map reduction), distributed caching (DGC), and load balancing (LFB) will help you to address some of the more complex distributed architecture questions you may face.

You don’t need to know how to build your operating system from scratch, but you should be familiar with some OS topics that can affect code performance (e.g. memory management, processes, threads, synchronization, paging, and multithreading).

Every company demands that their Software development engineers understand the basics of the Internet. Learn how browsers work at the highest level. Learn about DNS lookup, TCP/IP, socket connections, etc.

General Machine Learning and Artificial Intelligence

You’ll likely be asked questions about data-based modeling, training/testing procedures, error checking, and statistics. For instance, you’ll be asked, “What is a problem definition for machine learning?” You’ll then be asked to define the problem as a machine learning problem and then come up with a solution. You’ll want to think about data sources, annotations, modeling techniques, and pitfalls. It’s also worth revisiting your favorite ML/AI textbooks to ensure you’re familiar with the basics of AI/ML techniques and algorithms.

Some Machine Learning Topics are mentioned below:

We understand this was a relatively long list of topics to review. You should bear in mind that your interviewers won’t be evaluating your ability to memorize all the details of each of these topics. They will be analyzing your ability to apply what you know and solve problems efficiently and effectively. Given that you sometimes have only limited time to prepare for a technical interview, we recommend reviewing computer science fundamentals and practicing coding outside of an integrated development environment. This will likely yield the best results for your time.  

Please Login to comment...

Similar reads.

• Software Development
• 5 Reasons to Start Using Claude 3 Instead of ChatGPT
• 6 Ways to Identify Who an Unknown Caller
• 10 Best Lavender AI Alternatives and Competitors 2024
• The 7 Best AI Tools for Programmers to Streamline Development in 2024
• 30 OOPs Interview Questions and Answers (2024)

Improve your Coding Skills with Practice

What kind of Experience do you want to share?

Like what you're reading?

Need a good presentation topic? Here are hundreds of them.

Get your team on prezi – watch this on demand video.

Anete Ezera November 04, 2022

If you’re looking for good topics for presentations, you’ve landed on the right page. In this article, you’ll find plenty of good presentation topics, tips on choosing the most suitable topic for you, and essential design elements to make your presentation a success. 

Many factors go into an excellent presentation. You need to have confident body language and engage your audience to hold their attention. You also need eye-catching visual aids like images, data visualizations, GIFs, and others (all of which you can find in Prezi ), not to mention a great opening to grab attention and a strong closing line to stay memorable. However, the most essential aspect of your presentation is the topic. It’s the core of your presentation, so it has to be strong, insightful, attention-grabbing, and appealing to yourself and your audience in order to evolve into a successful presentation everyone will love. 

How to choose a good presentation topic

There are millions of topics you could create a presentation on, but what defines a good topic? If you’re struggling to either come up with a good topic for a presentation or you can’t decide between multiple ones, here are a few questions you should ask yourself before choosing a topic. 

What’s the goal of your presentation? 

When you’re choosing a topic, consider the meaning behind it. Ask yourself what the purpose of talking about this topic is, and what you want to say about it. Whatever topic you choose to present, the conclusion needs to provide a takeaway or lesson you want to communicate to your audience. A meaningful goal will make your presentation more memorable.  

Are you interested in the topic?

If you’re not interested in the topic, others won’t be curious either. Interest, enthusiasm, and passion enrich your presentation and are noticeable when presenting. Interest shines through and inspires others to find the topic as fascinating as you do. Think about the last time you saw someone sharing something they were passionate about – their excitement drew people in to pay closer attention to what they were saying. 

When choosing a topic, you need to find it or a particular angle of it interesting for yourself. For example, perhaps you’re not a pop music enthusiast, but you’re passionate about studying cultural phenomena. In this case, you can talk about pop music’s influence on early 2000s youth culture. 

Will your audience find this topic relatable? 

While you have to find the topic you’re presenting interesting, you also have to think about your audience. When choosing a subject, consider your audience’s background in terms of demographics, interests, culture, and knowledge level about the topic. Think about what others will find fascinating and relevant, so they’re not bored or confused during your presentation.

Do you have prior experience or knowledge about this topic?

Personal experiences are always great to share in a presentation, providing your unique perspective for anyone listening. While you can easily prepare your presentation based on a quick Google search, it won’t make the same lasting impact on your audience. Choose a topic you have some prior knowledge about, or have an interesting opinion you can share with others. It’ll make your presentation more engaging and memorable.

Ideas for good presentation topics

It’s not easy to come up with a good presentation topic from scratch. It’s much easier to get inspired from other good presentation topics to build your topic on. Whether you’re looking for presentation ideas for work, about me presentation ideas, unique or easy presentation topics, you’ll find them all here.

Without further ado, here are some good presentation topics to choose from or get inspired by.

Presentation topics about social media

• The role of social media in portraying gender stereotypes
• How social media impacts our body image
• How social media shaped Gen Z 
• The most significant differences between the Facebook and TikTok generations
• The negative effects of social media
• The positive impacts of social media 
• The effects of social media on behavior 
• How social media impacts our physical (or mental) health
• How social media has shaped our understanding of mass media
• Should we teach about social media in schools?
• The rise of social media influencers
• How AR Instagram filters impact our self-image
• How to go viral on social media?
• The origins of social media echo chambers
• Social media as a news outlet

Author: Ish Verduzco

Presentation topics about movies

• How movies influence our understanding of good and evil
• Beauty standards represented in movies
• How female characters are depicted in Hollywood movies
• How horror movies and global fears have developed through time
• The adverse effects of romance movies
• How movies have changed our understanding of the Western culture
• Charlie Chaplin and the silent movie era
• The globalization of culture: Hollywood vs. Bollywood
• The psychology behind the music in films
• The ethics of using animals in movies
• Social media’s influence on the film industry
• The history of filmmaking
• The role of color in movies
• The cultural impact of romance movies
• How are gender stereotypes depicted in Hollywood movies?

Author: Cinto Marti

Presentation topics about music

• The impact of pop music on beauty standards
• Should digital music be free for everyone?
• The psychology behind the music in advertisements 
• The effectiveness of sound therapy
• Can music inspire criminal behavior?
• The psychological effects of metal music
• The origins of K-pop
• How does music influence our understanding of the world?
• Can music help in the learning process?
• The positive effects of classical music
• The history of hip hop
• Why is music education essential in schools?
• The psychological benefits of playing piano
• Can anyone become a famous musician?
• The role of music in fashion

Author: Prezi Editorial

Presentation topics about health

• The link between food and mental health
• Inequality in the healthcare system
• Myths about healthy practices
• Simple practices that help you stay healthy
• Health education in schools: Should it change?  
• Toxic positivity and mental health
• The impact of superfoods on our health
• The psychology behind unhealthy eating habits
• Sex education in schools: Why should we have it?
• How to trick yourself into getting better: The placebo effect
• How to strengthen your immune system
• How to tell if someone is depressed
• The health benefits of regular exercise
• The impact of junk food on mental health
• Stress-caused diseases

Author: Prezi Education Team

Presentation topics about human psychology

• What is social depression?
• What triggers panic attacks?
• The impact of testosterone on aggressive behavior
• How to overcome social anxiety
• Differences in the functioning of the brain of a child and adult
• The impact of violent video games on children’s brain development
• How does the use of social media influence our attention span?
• How to overcome childhood trauma
• The influence of marijuana on the human brain
• How does behavioral therapy work
• The psychology behind fame
• The causes of personality disorders
• The differences in brain functioning between men and women
• What happens in therapy sessions?
• The psychology of substance abuse 

Presentation topics about self-development

• The impact of exercise on productivity
• How to deal with stress
• How to deal with procrastination
• The positive effects of meditation
• Why new–year’s resolutions don’t work
• How to overcome bad habits
• The impact of negative thoughts
• The negative effects of self-criticism
• The role of creativity in self-development
• Benefits of journaling
• How to learn something fast
• How to be mindful
• The importance of curiosity 
• How to become more self-aware
• Why it’s essential to spend time with yourself

Author: Nir Eyal

Presentation topics about education

• What are the advantages and disadvantages of online education?
• The positive effects of a gap year
• Should university education be free?
• Inequality in education access
• How language learning benefits brain development
• Emerging gender issues in education
• The importance of socialization in school
• School bullying and student development
• The benefits of reading 
• Is the education system broken?
• What you don’t learn in college
• The link between education and brain development
• The history of schools
• The gender gap in STEM
• The connection between equality in education and economic growth

Presentation topics about culture

• Is graffiti a form of art or street vandalism? 
• Cultural diversity in the workplace
• The impact of culture on gender roles
• The issue with orientalism
• Are humans the only species that has culture?
• How do different cultures view death? 
• The ethical issues of pop culture
• The impact of culture on personal development
• Sexism in different cultures
• The impact of globalization on local cultures
• The viral spread of the #metoo movement
• The history of subcultures
• The problem with romanticizing toxic relationships in movies
• 90s pop-culture influence on fashion trends
• The evolution of cultural psychology 

Author: Devin Banerjee

Presentation ideas for work

• What it’s like to be a digital nomad?
• How to deal with workplace conflicts
• The secret to a productive day
• How to set achievable goals
• The importance of diversity in a workplace
• The positive effects of creative thinking at work
• How to give constructive feedback
• The characteristics of a valuable team member
• Inequality and the glass ceiling
• Racial discrimination in the workplace
• Work habits of different cultures
• How is work perceived in various countries?
• Technological development and the future of work
• The importance of a healthy work/life balance
• The rise of health problems in office work

Author: Charles Huang

Presentation topics about hybrid work

• The positive effects of hybrid work on work/life balance
• Is hybrid work the future work model? 
• How to stay connected in a hybrid work model
• The challenges of hybrid work nobody talks about
• How to stay productive when working from home
• The social effects of hybrid work
• The economic impacts of hybrid work
• Case study: Hybrid work model in [company]
• What causes Zoom fatigue?
• The problem with online meetings
• Is hybrid work better than remote work?
• How to develop a close relationship with colleagues in a hybrid work model
• What kind of company culture is best for a hybrid work model?
• Is hybrid work sustainable?
• Cybersecurity consideration for hybrid working

Author: Barbie Brewer

Presentation topics about public speaking

• The importance of body language in public speeches
• How to appear confident when you’re not
• How to become a better orator
• The use of eye contact in public speaking
• Breathing exercises that will calm you down before public speaking
• The benefits of public speaking
• Ways to improve public speaking skills
• How to leave a great first impression on stage
• How to engage your audience during a public speech
• How to best structure your public speech
• How to end your presentation speech
• Can anyone learn to be good at public speaking?
• How to prepare for a public speech
• What not to do right before a public speech
• How to address a controversial topic in a public speech  

Author: Prezi Team

Presentation topics about entrepreneurship and leadership

• The main principles of a good leader
• The impact of leadership skills on professional performance
• The mistake every entrepreneur makes
• How to successfully lead a cross-cultural team
• How to celebrate inclusivity in a diverse team
• What are the common personality traits of a successful entrepreneur?
• The impact of entrepreneurship on the global economy
• The characteristics of a leader
• The most common challenges of entrepreneurship
• Can anyone learn to become a successful leader? 
• What affects new venture growth?
• The psychology of leadership
• What is crowdsourcing? 
• The benefits of being an entrepreneur
• Common mistakes leaders make

Author: Jill Sinclair

Presentation topics about technology

• The rise of technological development
• Is technology addictive?
• Should we use drones for military and non-military purposes?
• The sustainability of electric cars
• What are deepfakes?
• Limitations of AI machines
• The future of programming
• Ethical issues of AI
• The future of AR in business
• How VR can be used in the medical field

Author: David Vandegrift

Sales presentation topics

• How to make a cold email intro
• What is sales enablement?
• How to build better relationships with customers
• The best way to improve pipeline management
• Coaching via verbal and written role-play
• How to plan cold calls
• What’s a deal-breaker for most customers? 
• All about personalized coaching
• How to manage objections
• How to close more deals
• How to keep your prospects engaged
• Effective sales communication strategies
• How to conduct a competitor analysis
• The most valuable sales skills
• What soft skills do you need to become a successful sales rep?

Author: Cindy McGovern

Easy presentation topics

• Benefits of daily exercise and how to incorporate it into your routine
• Simple and nutritious meal recipes
• Tips for improving time management and productivity
• The importance of recycling
• The history of a local landmark or festival
• Ways to reduce stress
• Exploring different types of renewable energy sources and their impact on the environment
• The basics of budgeting and saving money for future goals
• The benefits of social media for professional use
• Tips for overcoming stage fright
• How to start a meditation practice
• The impact of technology on modern society
• The basics of personal finance
• The health benefits of a plant-based diet
• The history of Earth Day

Good how to presentation topics

• How to create a successful social media marketing strategy
• How to give a persuasive presentation
• How to create effective and engaging content for your blog
• How to discover your strengths and weaknesses
• How to use project management tools to increase productivity
• How to make the most out of boring meetings
• How to build a personal brand
• How to conduct effective market research
• How to use data analytics to improve decision-making
• How to improve your decision-making process
• How to write a winning proposal
• How to create a visually stunning presentation
• How to manage stressful situations at work
• How to make friends as an adult
• How to network at work events

About me presentation ideas

• My journey to becoming who I am today
• My passion for [insert topic or activity]
• My career aspirations and goals
• My travels and adventures around the world
• My hobbies and interests outside of work/school
• My role models and influences
• My strengths and weaknesses
• My favorite books, movies, and TV shows
• My proudest achievements and accomplishments
• My favorite childhood memories
• My family and friends
• My education and academic background
• My volunteer and community service experience
• My personality traits and values
• My vision for the future and how I plan to achieve it

Author: Adam Grant

Student presentation ideas

• The history and evolution of video games
• The history and cultural impact of tattoos
• The impact of social media on body image and self-esteem
• The effects of globalization on local cultures and economies
• The role of education in promoting social justice and equity
• The ethical implications of autonomous weapons in warfare
• The impact of mass media on society and culture
• The causes and effects of deforestation on biodiversity and climate change
• The history and cultural significance of dance in different parts of the world
• The psychology of addiction and recovery
• The impact of the gig economy on labor rights and job security
• The history and impact of feminism on gender equality
• The benefits and drawbacks of renewable energy sources
• The impact of colonialism on indigenous cultures and identities
• The role of technology in promoting global connectivity and intercultural understanding

Author: Edward Quinn

How to create a good presentation 

If you know what you want to present on, it’s time to create an impactful presentation that grabs everyone’s attention. Presentation design plays a crucial role in how your presentation is received and remembered. To stand out and leave a memorable impact on your audience, create a Prezi presentation. Instead of a linear, slide-based presentation, offer an engaging and dynamic storytelling experience to your audience. Breathe life into your presentation with motion, zoom, and spatial relationships. When creating your presentation, consider the following three essential elements: 

Visuals play a significant part in presentation design. They evoke emotions, make a memorable impact, and give more context to the story. Not to mention, 65% of people are visual learners , so visual aids are helpful when explaining a complex topic. 

In your presentation, include different types of visuals, such as images, videos, GIFs, and stickers, all of which you can find in Prezi’s content library. When selecting your visuals, consider what’s relevant and brings additional value to the story. Only add what’s meaningful and necessary. A video or image at the right place and time will enrich the viewing experience and make your presentation more memorable. 

The layout of your presentation is the structure of your story. It’ll help you introduce the topic, intrigue your audience, and unfold the layers of your topic one by one until you disclose your main arguments and summarize the presentation. A good presentation layout has a hierarchical, chronological, or logical flow that leads the viewer from start to finish. 

If you’re creating a Prezi presentation, you can create a dynamic storytelling experience by experimenting with your layout. Instead of going from slide to slide, you can zoom in and out of topics and experiment with different shapes, animations, and effects that draw the viewer into your story world. Here’s an example of a Prezi presentation with a great storytelling layout:

Author: Lydia Antonatos

Data visualizations can elevate your presentation from being a good one to a great one. By providing data behind your arguments, you’ll appear more trustworthy and confident in your audience’s eyes. 

Add charts, graphs, interactive maps, and more to your presentations with Prezi Design. You can choose from a wide selection of charts and maps to illustrate your data. With interactive elements, you’ll be able to engage your audience and make a memorable impact. 

Engaging visuals, a well-structured layout, and relevant data visualizations will provide a great starting base to create a memorable presentation. Discover other tips and tricks that make your presentation effective and capture people’s attention. 

Choosing a topic for a presentation isn’t easy. When selecting a topic, think about the goal of your presentation, your interest and knowledge about the topic, and whether or not your audience will find it relevant and interesting for them. Also, get inspired by other topics that’ll help you figure out what you want to talk about. Lastly, when creating your presentation, consider the impact of visuals, layout, and data visualizations. To simplify the creation process, follow the step-by-step process of making a presentation with helpful tips and resources.

Give your team the tools they need to engage

Like what you’re reading join the mailing list..

• Prezi for Teams
• Top Presentations

10 Tech Talks To Watch – Learn New Software Development Concepts in 2021

freeCodeCamp has a second YouTube channel just for tech talks. And we have published nearly 100 talks there, from developer conferences around the world.

You can subscribe to the freeCodeCamp Talks channel here .

I personally use tech talks as a way to top-up my developer knowledge. Most of these are just 20 or 30 minutes long, and are perfect to watch during a lunch break.

In this article, I'm going to share 10 of my favorite tech talks that we've published so far.

Talk #1: Understanding the V8 JavaScript Engine – A Visual Explanation – By Lydia Hallie from Reactathon 2020

How does the Chrome browser actually run JavaScript? In this talk, Lydia will show you what happens under the hood, in Google's V8 JavaScript Engine.

Lydia says of her talk: "As JavaScript devs, we usually don't have to deal with compilers ourselves. In this talk, I’ll use visualizations to show you how the JavaScript engine handles our human-friendly code, and compiles it to code that machines understand."

You can watch Lydia's talk here (11 minute watch)

Talk #2: Building Your Own Design System with CSS Variables – By Scott Tolinski From the Reactive Online Meetup

This talk is by Scott Tolinsky, host of the popular Syntax.fm podcast and creator of the LevelUpTuts YouTube channel.

Scott says: "You probably don’t need a CSS framework. While CSS Frameworks are wonderful and certainly have their place in the development landscape, they are often overused in place of a custom solution."

In this talk, Scott will show you ways to avoid the additional performance cost of using a CSS framework, and how to "quickly build a robust design system of components tuned to your needs using CSS variables."

You can watch Scott's talk here (40 minute watch)

Talk #3: Using curl better – By curl's Creator Daniel Stenberg at FOSS-North 2020

curl is one of those open source libraries that most developers will have used at some point. It is a powerful and flexible command line tool.

And who better to learn from than curl's creator himself.

In this talk, Daniel Stenberg will bring you up to speed on the history of curl and how it became so pervasive. He'll also talk about some of the decisions and tradeoffs he made when designing it. And he'll show you some curl tricks for consuming HTTP APIs.

You can watch Daniel's talk here (55 minute watch)

Talk #4: Everything You Know About MongoDB is Wrong! – By Mark Smith at Europython 2020

Mark Smith is a developer advocate at MongoDB. And in his day-to-day work contributing to the popular NoSQL database, he's heard a lot of misconceptions.

"MongoDB is webscale, right? It's a JSON database, it's eventually consistent, and you use map-reduce to query it. Oh, and it's insecure. Let me clear up some things: MongoDB is an ACID-compliant database with transactions, schemas & relationships."

"It includes a powerful aggregation query language; map-reduce has been deprecated for some time now. MongoDB doesn't speak or store JSON, and nowadays it comes with pretty good security defaults (we think)."

In this talk, Mark aims to elucidate some of these myths and explain where they come from.

"Like any database product, you need to know its capabilities and how to get the best out of it. On top of this, the product has changed a lot over the years, but lots of information out there hasn't caught up. I'll cover 8 myths around MongoDB, explain how they're wrong, why the myth originated in the first place (some of them weren't originally myths)."

You can watch Mark's talk here (25 minute watch)

Talk #5: How to AVOID Becoming a 10x Engineer – By Ivana Kellyerova at Europython 2020

Ivana Kellyerova is a back end developer from Austria. In this talk, she highlights the absurdity of some of the coding advice out there.

"The internet has never failed at being, among other things, a giant treasure of unsolicited advice by random people on all sorts of things, programming being no exception."

She says of the conventional wisdom around being a 10x engineer: "Wanna become a better coder? Learn to maximize your WPM. Never look at documentation because that's just embarrassing. And for crying out loud, change your screen background to black! So there you are, a fairly okay programmer, looking for ways to become better at coding. How do you achieve that? Well I'm no 10x engineer myself (thank goodness), but I do believe that there's a handful of things we can safely rule out."

You can watch Ivana's talk here (30 minute watch)

Talk #6: Functional Programming with JavaScript – By Simon Painter at FOSS-North 2020

Functional Programming is a popular alternative to Object Oriented Programming and other coding approaches. And there are programming languages designed around functional programming approaches, such as F#, Haskell, and Erlang.

But you don't need to learn a new programming language. You can practice functional programming right in JavaScript.

Simon Painter says "Using just a few JavaScript libraries, such as RamdaJS, developers can implement some of the most powerful patterns and techniques from the world of functional programming." You'll get code that is:

• More robust
• Easier to read
• Easier to maintain
• more scalable

This talk is recommended for anyone who wants to learn some Functional Programming in the comfort of familiar JavaScript.

You can watch Simon's talk here (55 minute watch)

Talk #7: Linux Basics – A Hands-On Workshop – By Bill Stearns at the Wild West Hackin' Fest

This is a full-blown 3-hour Linux workshop from a seasoned Linux teacher. It focuses on networking and security commands.

Bill Stearns, an instructor from the SANS Institute, says of this workshop: "Maybe you've not used Linux, or you have and just aren't comfortable with using the command line. Here's your chance to see an instructor guide you through commands as you try them yourself, hands-on. You’ll learn more about what they do, and why you might want to use them."

You can watch Bill's entire workshop here (3 hour watch)

Talk #8: Object Oriented Programming is Not What I Thought – By Anjana Vakil at the Øredev Conference

Anjana Vakil has given some of the most widely-watched tech talks in recent years. And this talk on Object Oriented Programming is similarly great.

Instead of trying to describe her talk, I'm just going give you the full description she wrote for this talk when she submitted it to the Øredev Conference because it's gold:

"Join me as I have my world shaken by the discovery that objects & classes aren't OOP's most important concepts: messages & late binding are. We'll try to peek inside the heads of Alan Kay & other OOP founders as they created languages like Smalltalk, and find that those "old" ideas seem strikingly relevant today.

"Our jaws may drop as we realize that OOP & functional programming aren't as different as we may have thought and that the 1st OO language wasn't created in the 60's or 70's, but much, much earlier… What awaits us at the end of this journey?

"At worst, we'll undergo a brief crisis of faith in everything we ever thought we knew about programming. At best, we'll shift the way we view this near-ubiquitous but oft-misunderstood paradigm, and walk away with new insights for how we architect & understand our code."

You can watch Anjana's talk here (40 minute watch)

Talk #9: The Basics of Social Engineering (AKA How I Break into Casinos and Airports) – By Chris Pritchard at DEF CON 27

Social Engineering is a fancy word for tricking people. Even the most sophisticated security systems usually have humans in the loop somewhere. And humans are one of the most vulnerable components. So it is no surprise that a lot of big real-world hacks use social engineering.

As Security Risk Manager Chris Pritchard explained to conferences goers at the legendary DEF CON: Social Engineering isn't just about reading body language, facial expressions, and being charming.

"I’m going to focus on the basics: how to perform reconnaissance, how to match dress styles, how to make up a pretext that fits your knowledge, how to get real staff to help you, what to do if you do get in, why you should interact with staff, and why you should practice being observant. These are important tools to learn and use, which can help you make a start in social engineering."

That's right. You're going to learn how to trick people. But more importantly, you're going to learn how people trick people, so you can defend against it.

You can watch Chris's talk here (25 minute watch)

Talk #10: Level Up With the Fundamentals of Web Development – By Colby Fayock at Byteconf React 2020

Finally, freeCodeCamp contributor Colby Fayock gives some web accessibility design tips in this fun, breezy talk.

"Seasoned and beginner alike, developers have a habit of jumping right into a framework or new technology that makes a lot of promises while also glazing over important fundamentals that without, tend to hold back a website or application’s potential. Without some basic knowledge of HTML, you might inadvertently exclude people from learning about your company through your website due to poor accessibility."

He also gives some quick performance tips. "Lacking an understanding or simply being afraid of CSS, you might be more prone to add unnecessary libraries on top of libraries that just add to the weight of the page, impacting how quickly your app can load."

Colby covers some basic HTML and CSS strategies that you can start using right away to make your websites faster, more accessible, and ultimately more SEO-friendly for search engines.

You can watch Colby's talk here (22 minute watch)

We Publish New Tech Talks Every Week

Again, we've partnered with dozens of major developer conferences to publish their tech talks on freeCodeCamp's Talks channel.

Shout out to PyCon, DEF CON, Reactathon, and so many other awesome developer conferences out there for making these talks freely available through the freeCodeCamp Talks channel.

The best way to stay on top of the newest tech conference talks is to subscribe to the freeCodeCamp Talks channel here .

Enjoy the talks, and happy coding. 👍

The teacher who founded freeCodeCamp.org.

If you read this far, thank the author to show them you care. Say Thanks

Learn to code for free. freeCodeCamp's open source curriculum has helped more than 40,000 people get jobs as developers. Get started

Home PowerPoint Templates Software Development

Software Development Templates for PowerPoint and Google Slides

Software Development Templates for PowerPoint cover various presentation topics for making slides related to your software development plan.

The available slide designs include Agile Scrum Diagrams, Use Case and Sequence Diagrams, among others.

Pick a template that is right for your topic and customize it to create a software development related presentation with professionally crafted layouts and graphics. You can even customize the color, size and shape of slide elements and move slide objects using drag and drop.

Download software PowerPoint templates and diagrams for software engineers who need to make nice slide designs in PowerPoint. Under this category you can find very useful slide designs, diagrams and charts for software developers and system engineers including activity diagrams, sequence diagrams, use case diagrams for PowerPoint and more.

Hackathon Planning Process PowerPoint Template

Data Flow Diagram PowerPoint Template

SOLID Principles PowerPoint Template

Hackathon Slide Template for PowerPoint

Hackathon Diagram Slide Template for PowerPoint

Hackathon Process PowerPoint Template

Hackathon Project PowerPoint Template

ITSM Process PowerPoint Template

SDLC Diagram PowerPoint Template

Productization of Service PowerPoint Template

Three Tier Architecture Model PowerPoint Template

RAD Methodology Model Template for PowerPoint

Download unlimited content, our annual unlimited plan let you download unlimited content from slidemodel. save hours of manual work and use awesome slide designs in your next presentation..

Software development refers to a set of computer science activities that are dedicated to the process of creating, designing, deploying, and supporting software.

Software itself is the set of instructions or programs that tell a computer what to do. It is independent of hardware and makes computers programmable. There are three basic types:

System software to provide core functions such as operating systems, disk management, utilities, hardware management and other operational necessities.

Programming software to give programmers tools such as text editors, compilers, linkers, debuggers, and other tools to create code.

Application software (applications or apps) to help users perform tasks. Office productivity suites, data management software, media players and security programs are examples. Applications also refer to web and mobile applications like those used to shop on Amazon.com, socialize with Facebook or post pictures to Instagram. 1

A possible fourth type is embedded software . Embedded systems software is used to control machines and devices not typically considered computers — telecommunications networks, cars, industrial robots and more. These devices, and their software, can be connected as part of the Internet of Things (IoT). 2

Software development is primarily conducted by programmers, software engineers and software developers. These roles interact and overlap, and the dynamics between them vary greatly across development departments and communities.  

Programmers, or coders , write source code to program computers for specific tasks like merging databases, processing online orders, routing communications, conducting searches, or displaying text and graphics. Programmers typically interpret instructions from software developers and engineers and use programming languages like C++ or Java to carry them out.

Software engineers apply engineering principles to build software and systems to solve problems. They use modeling language and other tools to devise solutions that can often be applied to problems in a general way, as opposed to merely solving for a specific instance or client. Software engineering solutions adhere to the scientific method and must work in the real world, as with bridges or elevators. Their responsibility has grown as products have become increasingly intelligent with the addition of microprocessors, sensors, and software. Not only are more products relying on software for market differentiation, but their software development must be coordinated with the product’s mechanical and electrical development work.

Software developers have a less formal role than engineers and can be closely involved with specific project areas — including writing code. At the same time, they drive the overall software development lifecycle — including working across functional teams to transform requirements into features, manage development teams and processes, and conduct software testing and maintenance. 3

The work of software development isn’t confined to coders or development teams. Professionals such as scientists, device fabricators and hardware makers also create software code even though they are not primarily software developers. Nor is it confined to traditional information technology industries such as software or semiconductor businesses. In fact, according to the Brookings Institute (link resides outside ibm.com), those businesses “account for less than half of the companies performing software development.”

An important distinction is custom software development as opposed to commercial software development. Custom software development is the process of designing, creating, deploying, and maintaining software for a specific set of users, functions, or organizations. In contrast, commercial off-the-shelf software (COTS) is designed for a broad set of requirements, allowing it to be packaged and commercially marketed and distributed.

Read how desktop as a service (DaaS) enables enterprises to achieve the same level of performance and security as deploying the applications on premises.

Register for the guide on hybrid cloud

Developing software typically involves the following steps:

• Selecting a methodology to establish a framework in which the steps of software development are applied. It describes an overall work process or roadmap for the project. Methodologies can include Agile development, DevOps, Rapid Application Development (RAD), Scaled Agile Framework (SAFe), Waterfall, and others.
• Gathering requirements to understand and document what is required by users and other stakeholders.
• Choosing or building an architecture as the underlying structure within which the software will operate.
• Developing a design around solutions to the problems presented by requirements, often involving process models and storyboards.
• Building a model with a modeling tool that uses a modeling language like SysML or UML to conduct early validation, prototyping, and simulation of the design.
• Constructing code in the appropriate programming language. Involves peer and team review to eliminate problems early and produce quality software faster.
• Testing with pre-planned scenarios as part of software design and coding — and conducting performance testing to simulate load testing on the application.
• Managing configuration and defects to understand all the software artifacts (requirements, design, code, test) and build distinct versions of the software. Establish quality assurance priorities and release criteria to address and track defects.
• Deploying the software for use and responding to and resolving user problems.
• Migrating data to the new or updated software from existing applications or data sources if necessary.
• Managing and measuring the projec t to maintain quality and delivery over the application lifecycle, and to evaluate the development process with models such as the Capability Maturity Model (CMM).

The steps of the software development process fit into application lifecycle management (ALM). The IBM® Engineering Management solution is a superset of ALM that enables the management of parallel mechanical, electrical, and software development.

• Requirements analysis and specification
• Design and development
• Maintenance and support

Software development process steps can be grouped into the phases of the lifecycle, but the importance of the lifecycle is that it recycles to enable continuous improvement. For example, user issues that surface in the maintenance and support phase can become requirements at the beginning of the next cycle.

Software development is also important because it is pervasive. As IBM vice president and blogger Dibbe Edwards points out: “Software has emerged as a key differentiator in many products — from cars to washing machines to thermostats — with a growing Internet of Things connecting them.”

A few examples:

• Soul Machines (link resides outside ibm.com) uses software to create artificial online advisors that improve customer service and efficiency. The advisors have human faces, expressions and voices that react intelligently, empathetically, and efficiently to customer questions and needs. They can answer over 40 percent of customer inquiries without human intervention — and they learn from their interactions to improve over time. Using IBM Watson Assistant to incorporate artificial intelligence (AI) capabilities into the development process, Soul Machines can create and roll out an artificial advisor in about 8 to 12 weeks.
• “This is a race,” says Erik Bak-Mikkelsen. “We have to keep up with what’s happening in the market.” Bak-Mikkelsen is head of cloud operations at car2go (link resides outside ibm.com). He understands that delivering new features and functions to car2go’s ride-sharing apps and vehicles is key to getting and staying ahead. To do so, car2go moved its development operations to a managed-services cloud and adopted a DevOps development model. The result is accelerated development cycles, faster time to market and the capability to scale for future growth.
• Working with electrical power lines can be deadly. To stay safe engineers set electrical “lockouts” using physical tags and padlocks to divert power from work locations. French energy company Enedis (link resides outside ibm.com) worked with IBM Garage for Cloud to develop software that instruments these locks and tags and ties them into a shared network. Tags and locks detect each time that they are removed from an engineer’s van and communicate the time and geo-location. As the engineer attaches the locks, their location is recorded on a digital map. All stakeholders share a view of the map to ensure safety, reduce downtime and facilitate repairs. The IBM Cloud Garage collaborative development approach enabled Enedis to develop field-ready prototypes in three months.

Using software development to differentiate brands and gain competitive advantage requires proficiency with the techniques and technologies that can accelerate software deployment, quality and efficacy.

• Artificial intelligence (AI):  AI enables software to emulate human decision-making and learning. Neural networks, machine learning, natural language processing and cognitive capabilities present developers and businesses with the opportunity to offer products and services that disrupt marketplaces and leap ahead of the competition. IBM Watson offers developers a way to connect with and use artificial intelligence services as part of their applications through application programming interfaces or APIs . You can also use IBM Watson to improve your product requirements by checking for ambiguity, unclear actors, compound or negative requirements, missing units or tolerances, incomplete requirements, and unspecific quantities.
• Cloud-native development: Cloud-native development is a way of building applications to use cloud environments. A cloud-native application consists of discrete, reusable components that are known as microservices that are designed to integrate into any cloud environment. These microservices act as building blocks and are often packaged in containers . Because of this architecture, cloud-native applications can use cloud environments to improve application performance, flexibility, and extensibility .
• Cloud-based development: Just as IT organizations look to the cloud to improve resource management and cut costs, so do software development organizations. In this way, the cloud can be used as a fast, flexible, and cost-efficient integrated development environment (IDE) or development Platform as a Service (PaaS) . Cloud-based development environments can support coding, design, integration, testing, and other development functions. They can also offer access to APIs, microservices, DevOps and other development tools, services and expertise. 
• Blockchain:  Blockchain is a secure, digitally linked ledger that eliminates cost and vulnerability that is introduced by parties like banks, regulatory bodies and other intermediaries. It is transforming businesses by freeing capital, accelerating processes, lowering transaction costs and more.  Blockchain presents a tremendous opportunity for software development. Developers are working with distributed ledgers and open source Hyperledger (link resides outside ibm.com) technology to change how businesses operate.
• Low code:  Forrester defines low code as: “Products and/or cloud services for application development that employ visual, declarative techniques instead of programming and are available to customers at low- or no-cost in money and training ...”  4 In short, it’s a development practice that reduces the need for coding and enables noncoders or citizen developers to build or help build applications quickly and at lower cost.
• Analytics: Annual demand for data scientists, data developers, and data engineers will reach nearly 700,000 openings by 2020 . The demand signifies how critical it is for companies to gain insight and value from the explosion of data. Accordingly, software developers are integrating advanced analytics capabilities into their applications. Cloud-based services and APIs make it simpler to guide data exploration, automate predictive analytics and create dashboards that deliver new insights and improve decision making.
• Model Based Systems Engineering (MBSE) : In MBSE, software modeling languages are used to perform early prototyping, simulation, and analysis of software designs for early validation. Building designs in MBSE helps you to analyze and elaborate project requirements and move rapidly from design to implementation.  
• Mobile: A key capability for software developers is creating mobile apps with deep connections to data that enriches and elevates user experiences. Forrester has found that “deeply integrating digital/mobile customer data has a strong effect on how customers interact with brands.”
• Agile development breaks requirements into consumable functions and delivers rapidly on those functions through incremental development. A feedback loop helps find and fix defects as functionality continues to deploy.
• Capability Maturity Model (CMM) assesses the proficiency of software development processes. It tracks progress from ad hoc actions to defined steps to measured results and optimized processes.
• DevOps, a combination of development and operations, is an agile-based approach that brings software development and IT operations together in the design, development, deployment, and support of software.
• Rapid application development (RAD) is a nonlinear approach that condenses design and code construction into one interconnected step.
• Scaled Agile Framework (SAFe) provides a way to scale agile methodology to a larger software development team or organization.
• Waterfall, often considered the traditional software development methodology, is a set of cascading linear steps from planning and requirements gathering through deployment and maintenance.

A proven solution for modeling and design activities that helps you deliver higher-quality software and systems faster.

Advanced software version control, workspace management, which is distributed source control and parallel development support for individuals and teams to improve productivity by automatically tracking changes to artifacts. The software enables a virtually unlimited suspend-and-resume feature to handle work interruptions.

Provides connections between IBM Engineering Lifecycle Management tools and 3rd party tools like Git, GitLib, and GitHub for managing version control of software.

Code, content, community and more.

Sign up for the topics that matter most.

Meet complex business needs with speed and agility by connecting you software development tools.

Our computer science research today focuses on discovering breakthroughs in automation, information processing, and computation.

IBM Engineering Lifecycle Management (ELM) can help you embrace an end-to-end management approach to your systems and software development. Conquer complexity from design to execution, unite teams through digital thread, leverage modelling and reuse, harness insights from automated reporting, and confidently operate at scale.

1  Software, Techopedia (link resides outside ibm.com)

2  Embedded software, Wikipedia (link resides outside ibm.com)

3  Software Engineer vs. Software Developer – What’s the Difference? Fullstack Academy (link resides outside ibm.com)

4  The Forrester Wave™: Low-Code development Platforms for AD&D Pros, Q4 201 John R. Rymer, Forrester Research, Inc. 23 October, 2017 (link resides outside ibm.com)

23 Exciting Software Development Project Ideas & Topics for Beginners [updated 2024]

In this article, you will learn the 23 Exciting Software Development Project Ideas & Topics for 2023 . Take a glimpse below.

• Android task monitoring
• Sentiment analysis for product rating
• Fingerprint-based ATM system
• Advanced employee management system
• Image encryption using the AES algorithm
• Fingerprint voting system
• Weather forecasting system
• Android local train ticketing system
• Railway tracking and arrival time prediction system
• Android Patient Tracker
• Opinion mining for social networking platforms
• Automated payroll system with GPS tracking and image capture
• Data leakage detection system
• Credit card fraud detection
• AI shopping system
• Camera motion sensor system
• Bug tracker
• e-Learning platform
• Smart health prediction system
• Software piracy protection system
• Face detector
• Voice Recognition

Read the full article to know more about the project Ideas & Topics in detail.

Software development innovative project ideas are an integral part of a Software Engineer/Developer’s career graph. Once you attain the requisite knowledge and skills in software development, if you don’t put that knowledge and expertise to the test, they’ll be of little or no use. This is why Software Developers readily take on software development projects immediately after completing their formal education. 

In the present industry, if you wish to land a promising job in the field of Software Development, you must have a few software development projects under your belt. As a matter of fact, during interviews for Software Development job roles, almost all potential employers will ask you whether or not you have any unique programming project ideas and if you have worked on any real-world development projects. These real time projects can also be used as final-year project ideas for IT students.

You can also check out our free courses offered by upGrad in Management, Data Science, Machine Learning, Digital Marketing, and Technology. 

One-Of-Its-Kind Program That Creates Skilled Software Developers. Apply Now! "}" data-sheets-userformat="{"2":1063809,"3":{"1":0},"10":2,"11":0,"12":0,"14":[null,2,0],"15":"Calibri, sans-serif","16":11,"23":1}" data-sheets-textstyleruns="{"1":0}{"1":16,"2":{"2":{"1":2,"2":1136076},"9":1}}{"1":140}" data-sheets-hyperlinkruns="{"1":16,"2":"https://www.upgrad.com/software-engineering-mcs-ljmu/?utm_source=BLOG&utm_medium=TEXTCTA&utm_campaign=TV_SE_MS_BLOG_TEXTCTA_"}{"1":140}"> One-Of-Its-Kind Program That Creates Skilled Software Developers. Apply Now!

Check Out upGrad’s Full Stack Development Bootcamp

By working on live software development minor project topics , you can spice up your resume and position yourself as an ideal candidate for Software Development roles.

Learn  Software development Courses  online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.

In this post, we’ll talk about 20 interesting Software Development project topics that are excellent for honing your programming and development skills.

Why are Software Development Projects Important?

Software development minor project topics are important for various reasons, as they play a crucial role in modern society and business. Here are some key reasons why software development projects hold significant importance in this digital landscape: –

Innovation and Advancement

Software development project topics drive innovation by creating new technologies, tools, and solutions that improve efficiency, convenience, and quality of life. New software applications can revolutionize industries and lead to entirely new markets.

Business Growth and Competitiveness

In today’s digital landscape, businesses often rely on software to operate efficiently, connect with customers, and compete effectively. Custom software solutions can provide a competitive edge by addressing unique business needs and streamlining operations.

Efficiency and Automation

The software helps automate and streamline processes, reducing the need for manual tasks and minimizing errors. This increases efficiency, lower operational costs, and improves resource utilization.

Data Management and Analysis

Software innovative ideas for projects enable businesses to collect, store, manage, and analyze vast data. This data-driven decision-making is essential for understanding customer behavior, market trends, and business performance.

Improved Customer Experience

Software applications, whether web-based, mobile, or desktop, often serve as direct touchpoints with customers. Well-designed and user-friendly software can enhance customer experiences, increasing customer satisfaction and loyalty.

Global Connectivity

The software connects people, businesses, and devices across the globe. It enables communication, collaboration, and information sharing regardless of geographical barriers.

Research and Scientific Advancement

Many scientific and academic fields rely on software development for data analysis, simulations, modeling, and experimentation. Advances in software contribute to breakthroughs in various disciplines.

Healthcare and Medicine

Software development is critical in medical technology, from electronic health records (EHR) systems to diagnostic tools and telemedicine platforms. It helps improve patient care, medical research, and treatment outcomes.

Entertainment and Media

The entertainment industry relies heavily on software for video games, multimedia content creation, streaming platforms, and virtual reality experiences, enhancing the way people consume and engage with media.

Social Impact

Software real time projects can have significant social impacts, addressing societal and educational challenges, disaster management, poverty alleviation, environmental monitoring, and more.

Customization and Flexibility

Custom software solutions can be tailored to meet specific business requirements, providing greater flexibility and adaptability than off-the-shelf software.

Security and Privacy

Software development innovative project ideas contribute to developing cybersecurity tools and practices, helping protect sensitive data and systems from cyber threats.

Economic Growth

The software industry generates substantial economic value, creating job opportunities, fostering entrepreneurship, and contributing to economic growth and GDP.

In essence, software development projects topics for the students drive technological progress, enable efficiency gains, and shape the way we interact with the world around us. They empower businesses, organizations, and individuals to achieve their goals, solve complex problems, and remain competitive in a rapidly evolving digital landscape.

Looking to challenge yourself or expand your portfolio? Check out our curated list of computer science project ideas to inspire your next groundbreaking project.

How to Develop a Software Project Topics?

Developing a software innovative ideas for projects involves several key steps to ensure its successful creation and deployment. So, let’s learn how to develop a software project: –

• Through thorough analysis and planning, begin by defining clear project goals, scope, and requirements. 
• Next step is to design the software architecture and user interfaces, considering scalability and user experience. 
• Choose the best technologies, frameworks, and development methodologies based on the project’s needs.
• Implement the software by writing code, regularly testing, and addressing bugs and issues. 
• Collaborate closely with a multidisciplinary team, including developers, designers, and testers, to ensure comprehensive coverage. 
• Regularly review and iterate on the software, incorporating user feedback and making necessary adjustments. Prioritize security measures and data protection throughout the development process. 
• Finally, deploy the software to the target environment and continuously monitor its performance, promptly addressing post-launch concerns. 
• Effective communication, teamwork, and adherence to best practices are crucial for delivering a successful software testing micro project topics on time and within budget.

Check Out upGrad’s Advanced Certificate Programme in DevOps

Domains of Software Development that Programmers Can Explore

Listed below are a few domains of software development that programmers should consider:

• Front-end development: The front-end development domain is focused on imparting a seamless experience to the users. This is mainly associated with the area related to the website’s design and appearance. 
• Back-end development: The back-end development domain deals with logic and effective software programming that goes into the smooth execution of the programs.
• Full-stack development: This domain combines both the front and back-end segments of software development and provides integrated knowledge. 
• Web and mobile application development: Programmers can also gain relevant skills in website and mobile application development to contribute to the development of web, Android, and iOS applications. 
• AI software development: AI is finding its way into various sectors in the modern-day tech-driven world, including software development. AI and ML technologies can be used to make tools like chatbots, virtual personal assistants, and more. 
• Cloud computing technologies: Technologies like Azure, Google Cloud, AWS, etc., are being used by firms and companies to cater to the industries’ requirements for storing and protecting data. This has become an important aspect of software development.

Let us now look at the 28 most innovative project ideas for students of software development that are highly engaging and extremely relevant in today’s world. 

Software Development Project Ideas

This list of software engineering projects for students is suited for beginners, and those just starting out with software engineering in general. These software engineering projects will get you going with all the practicalities you need to succeed in your career as a software engineering professional. The focal point of these software engineering projects is software engineering algorithms for beginners, i.e., algorithms that don’t require you to have a deep understanding of software engineering, and hence are perfect for students and beginners.

Check out our useful program on Full Stack Development Bootcamp from upGrad.

Our Learners also read : Career in technology !

Further, if you’re looking for software engineering project ideas for the final year, this list should get you going. So, without further ado, let’s jump straight into some software testing micro project topics that will strengthen your base and allow you to climb the ladder.

1. Android task monitoring

This innovative ideas for project is exclusively designed to simplify the tracking and monitoring of day-to-day activities of busy modern life. We are so busy in our daily lives right now that it becomes impossible to keep track of our daily events, meetings, and appointments. To address this issue, this project focuses on developing a Weekly Task Alerting System for Android devices that can alert users of the tasks/appointments that are scheduled for each day of the week. 

The innovative project ideas for students is primarily a reminder app powered by an AI chatbot that reminds users of all the tasks that are due daily. Users can use this application to set goals and achieve them, thereby increasing productivity and simplifying their lives. 

Importance of android task monitoring system- 

• Alert the users of the due tasks.
• Less time-consuming, and the users can easily navigate through.
• Brings higher productivity to the user’s life.
• They are user-friendly and therefore have higher adaptability.
• Integration of extra features
• Better technology performance

Explore Our Software Development Free Courses

Learn Java Code Online

2. Sentiment analysis for product rating

This is one of the most innovative project ideas beginners can try out.

This project aims to develop a sentiment analysis system for product rating. It is an e-commerce web application. The main goal of this sentiment analysis system is to understand the hidden sentiments of customers in feedback and comments and analyze their product rating patterns. 

When registered customers use this app to view products, product features, and comment on different products, the sentiment analysis system will analyze the comments of various users and ranks products accordingly. The system leverages a database of sentiment-based keywords (including positivity or negativity weight).

So, when a user comments on a particular product, the sentiment analysis system analyzes the keywords in the comment to find a match with the keywords stored in the database. After analyzing the matches against the positive and negative keywords and sentiments, the system ranks a product as good, bad, and very bad. Thus, users can use this application to find out reviews on a product.

Importance of  Sentiment analysis for product rating

• Organisations can use this as a marketing tool.
• Customer loyalty 
• Customer satisfaction 
• Brand Recognition
• The product can acquire the acceptance of the customers.
• It helps the brands to identify the products that have higher acceptance and materialise the resources for the same.
• Lift the business’s local ranking on the search engine.
• Boost click-through rates

Our learners also read : Java free online courses !

3. Fingerprint-based ATM system

This innovative project ideas for students is a desktop application that uses the fingerprint of users for authentication. Since each individual has a unique fingerprint, this method of using fingerprint as a means of authentication to access your ATM is safer and more secure than using an ATM card. Users need not carry their ATM cards with them at all times – they can use their fingerprints to access ATM services. 

To use the fingerprint-based ATM system, users must log in to their accounts using their fingerprints. After logging in, once they provide their unique pin, they can conduct all kinds of banking transactions, from withdrawing cash to money transfers, and even viewing their account balance. Furthermore, users can also check the last five transactions from their accounts.

Importance of having a Fingerprint-based ATM system

• Safer and secure transactions
• Fingerprints are unique to individuals. L losing the ATM card does not pose a big issue.
• No requirement to carry an ATM card all the time.
• Non-transferable feature.
• Helps in making transactions easier at any place.

In-Demand Software Development Skills

upGrad’s Exclusive Software and Tech Webinar for you –

SAAS Business – What is So Different?

4. Advanced employee management system

Usually, large companies and organizations have a vast army of human resources working under them. In such scenarios where there’s a significant number of human employees to manage, it becomes challenging to supervise and manage the activities of the human resources efficiently. Such companies/organizations need an advanced employee management system that can handle everything related to the company’s human resources.

This software project aims to build an employee management system that consolidates all the relevant information on a company’s human resources. It has two major components – Admin and Employee. The Admin is in charge of the company information, leave management, and payroll, and can also add and tweak employee details. Likewise, employees can use the system to check their leave status, view salary details, and yearly holiday lists, and also for voicing grievances or resigning. This can be one of the final year project ideas for IT students. 

Importance of having an Advanced employee management system

• It helps in creating an open environment.
• Aligns the workforce to achieve the company goals.
• Brings transparency in the system.
• Helps in achieving work-life balance.
• Encourages productivity in the team.
• Helps in better tracking of employee performance.
• Remote access
• Time-saving
• Secure as the personal information cannot be accessed by anyone.

Learn more: Evolution of Language Modelling in Modern Life

5. Image encryption using AES algorithm

When it comes to communication and imaging systems, you need to incorporate the highest level of security in place. Without a reliable and secure system, there’s a massive threat to sensitive data. Cybercriminals and hackers are always on the lookout for hacking into confidential data, which puts it at risk of being violated. 

This software project seeks to create a sophisticated image encryption system by using the AES (Advanced Encryption Standard) algorithm to prevent intrusion attacks of imaging systems and misuse of digital images. Since the system encrypts the images using the AES algorithm, they can only be viewed by the receiver and the sender. This encryption system is more secure than DES or triple DES systems.

Importance of having Image encryption using the AES algorithm

• They are secure.
• The images are encrypted; only the user having access can view them.
• Encryption and decryption are more secure.
• Prevent unauthorized access.

Explore our Popular Software Engineering Courses

Read: Full Stack Development Project Ideas

6. Fingerprint voting system

In this software testing micro project topics, you will develop a fingerprint-based voting application that can recognize users based on their fingerprint patterns. Since fingerprint authentication is unique for each person, the system can quickly identify the voters using their fingerprints. Naturally, a voter can vote for a candidate only once.

The Admin adds all the names and photos of the candidates nominated for the election. The Admin then authenticates users by verifying their identity proof, and after verification, the voter is registered in the system. Furthermore, the Admin even enters the data when the election will end, after which the system will automatically delete the names and photos of the candidates and voters.

Also, Check out online degree programs at upGrad.

The users can log in to the system via the unique user ID and password given by the Admin and then use their fingerprints to vote for their preferred candidate. Once the election is over, and the votes are counted, Both the Admin and users can view the election result using the election ID.

Importance of having a Fingerprint voting system

• Transparent
• Fingerprints are unique to individuals, thus ruling out multiple punch-ins.
• Promises fair election process.
• Scalable; adding new voters is easier using a biometric approach.
• Secure, the voters need not worry about identity theft.

Read: React js online course for free.

7. Weather forecasting system

If you are new to software development and looking for minor project topics , this project might suit you. 

Weather forecasting systems use a combination of science and technology to make accurate predictions on weather conditions of a particular location at a particular time. Weather forecast systems and applications predict weather conditions based on multiple parameters, such as pressure, temperature, humidity, wind speed, etc.

This weather forecasting project is a web application. It has a graphical user interface where users can log in via their user ID and password. This weather forecast application is different from the conventional weather forecast systems where you only enter the location.

However, in this application, the users will manually enter the current parameters of a location, and the system will predict the weather conditions of the place by using historical data stored in the database. The Admin continually updates the database by entering the data of past weather conditions. Since the system mainly relies on historical data, the predictions will be much more accurate and reliable.

Importance of having  a Weather forecasting system

• Accurate data
• Prevents mishaps by predicting the weather accurately.
• Supports the economy as it helps users plan their business activities. 
• Healthy safety
• User-friendly
• Compatible with various operating systems such as Android, iOs, etc.
• Cost-effective
• Supports infrastructure safety
• It helps in planning out disaster management.

8. Android local train ticketing system

In this project, you will develop a ticketing application for local trains. Users can use the app to book tickets for local trains and receive online booking receipts. They can print these online booking receipts as hard copy proof for traveling via local trains. 

The application consists of two accounts – Admin account and a User account. Using the Admin account, the Admin can recharge the user account balance and view all the processed tickets of a user. When users log in to the application, they have to fill out a ticket booking form to book tickets for the local trains traveling to their preferred destination.

In the booking form, users can t choose both the source and destination. The system will also provide the option for a single-route journey or return journey along with the travel class (first class or second class). 

Importance of  Android local train ticketing system

• Time efficient
• Transparency
• Easy to use
• Inclusivity as people from diverse geographical locations can access.

Also try: Web Development Project Ideas

9. Railway tracking and arrival time prediction system

A railway tracking and arrival time prediction system is among the various new ideas for project , you can try out . 

This project is a railway tracking system that allows users to obtain relevant information about train timing, whether it is on time or running late, what is the arrival time in a particular station, and so on. The system can track the time of departure of a train from a station and forward this information to the upcoming stations.

If the system identifies a delay in the departure of a train from a particular station, it will pass the information on to the next stations. This project delivers real-time train schedule events to multiple subscribing client applications.

This tracking system consists of an Admin module. The Admin enters all the relevant details about trains and their arrival timing at different stations, which is then forwarded to the next station via an Internet server. Usually, the Admins add information such as train departed from a station, expected arrival at the next destination, delay in the train schedule, etc.

Once the upcoming station receives this data, it will automatically select the data associated with that station and display the same on the screen for the users to see. So, if the Admin at Mumbai station enters information specific to Delhi station, only the Delhi station system will display that information. The station masters at every station have unique login IDs using which they can update the train arrival time at their station. 

Importance of having Railway tracking and arrival time prediction system

• Real-time display of updates.
• Help in better time management of the passengers.
• Accurate 

10. Android Patient Tracker

This innovative project ideas for college students involves the development of an Android application for viewing and managing patient data. The app is designed to help doctors to see the medical history of their patients. Doctors can also continually upgrade the system by entering the latest medical data of their patients. 

This app can be installed on any Android device. Doctors can log in to the app from their Android smartphones and enter relevant information about their patients, including patient name, disease history, medication administered, date of arrival, and consultation and treatment costs, among other things. Once the information is saved in the system, it will be stored for the perusal of doctors in their future cases. So, if a patient comes for a follow-up routine, doctors can immediately check up on their medical history and provide the necessary medical treatments. This is one of the popular projects for final-year project ideas for IT students. 

Importance of having an Android Patient Tracker

• Database management
• Easily accessible
• Secured login
• High resolution
• Quick Search
• Easy-to-use UI
• Less paperwork involved
• Storage of historical data

Also read: Python Project Ideas for Beginners

11. Opinion mining for social networking platforms

This web application uses opinion mining methodology for improved decision making and enhancing customer experience. The application collects and analyzes the comments and feedback on different users on social networking platforms (Facebook, Instagram, Twitter, etc.) and categorizes them as positive and negative reviews.

Similar to the sentiment analysis system, this application, too, has a database containing sentiment-based keywords with positivity or negativity weight. So, it analyzes the keywords mined from the user comments against the keywords stored in the database. Accordingly, the comments are ranked as good, bad, and worst reviews (based on their positive or negative weight).

The Admin updates the database with new and relevant keywords. Users can log in to the application to view their status. They can also view the topics and comments posted by other users. By clicking on a particular topic or comment, users can provide their take on the matter.

Also, read about the Top 4 types of sentiment analysis & where to use them.

12. Automated payroll system with GPS tracking and image capture

This is one of the most interesting software engineering projects students can work on. 

This automated payroll system doubles up as a web and Android application – while the user will use the Android interface, the Admin (usually the HR) will use the web interface. 

The application works something like this – each employee is given an employee ID and password for accessing the app from their Android device. When an employee logs into the system from an Android device and immediately, the user image is captured. Then, the system sends the user image and their GPS location to the Admin.

As long as the user stays logged into the system via an Android device, the GPS location will continue to be automatically updated and forwarded to the Admin every five minutes. When the user logs out, their image and GPS location are again sent to the Admin. 

This application allows Admins to keep track of employee attendance and payroll. The Admin creates employee profiles for each employee by entering all the relevant personal information (name, job position, qualification, etc.). They can also check the salary details and breakdown of the salary of each employee by entering the employee ID and date.

Since the application is GPS-enabled, no employee can add proxy attendance. This enables the HRs to keep an accurate record of the working days of individual employees and tweak their payroll accordingly. 

Importance of having an Automated payroll system with GPS tracking and image capture

• Accurate maintenance of records
• Removes negative externalities
• Brings transparency
• Less human intervention and more data-centric approach
• Quick payroll calculations
• Proper tax management
• Can track working hours

Read our Popular Articles related to Software Development

13. data leakage detection system.

The primary task of data leakage detection systems is to detect data leakage and discover the sources for the same. If ever an organization’s sensitive data gets leaked, it may then finds its way to unauthorized devices. This is why it is crucial to trace the source of data leakage so that you can nip the problem in the bud. An advanced data leakage detection system can prevent data from leaking out of its original source. 

This project exclusively focuses on designing an improved data leakage detection system. The proposition here is to identify data leakages by storing data as per agents. It can promptly trace any possible sources of unauthorized leakage by leveraging a data allocation strategy across various agents.

As a part of the strategy, a user can transfer data to other users via “receivers” – these are agents to whom the data is allocated by using ID-based undetectable alterations. The data leakage detection system uses these alterations to identify the source of leaked data immediately when it is found in any unauthorized places or systems.

Importance of having a Data leakage detection system

• Prevents unauthorised access
• Helps the organisation to take adequate preventive measures
• Helps in undertaking preventive measures
• Helps in maintaining brand image

14. Credit card fraud detection

Credit card fraud is a significant threat in the BFSI sector. This credit card fraud detection system studies and analyzes user behavior patterns and uses location scanning techniques to identify any unusual patterns. One of The user patterns includes important user behavior like spending habits, usage patterns, etc. The system uses geographic location for identity verification. In case it detects any unusual pattern, the user will be required to undergo the verification process again. 

The fraud detection system stores the past transaction data of each user. Based on this data, it calculates the standard user behavior patterns for individual users, and any deviation from those normal patterns becomes a trigger for the system. In the instance of any unusual activity, the system will not only raise alerts, but it will also block the user after three invalid attempts.

Importance of having Credit card fraud detection

• Prevents fraudsters from making multiple transactions
• Creates alerts
• Authentication of customers
• Brings more databases, and helps more users to adopt the technology.
• Increases user confidence

15. AI shopping system

As the name suggests, the AI multi-agent shopping system is a shopping assistant, more like a recommendation engine. First, the system is fed with the details of a wide range of products. When a user registers in the system and searches for a specific product, the system returns the result of the most relevant items that match the search keywords entered by the user.

Since the system is designed to study the search patterns of the user and based on the previous search and purchase history, it will also provide a curated suggestion of a list of items that are a close match to the searched item. 

The AI shopping system allows users to register and log in using an ID and password. After logging in, users can search for products online, perform a custom search across various product categories, add items to their cart, and choose the preferred payment option. 

Importance of having an AI shopping system

• Customsied search option
• Data-centric approach
• Increases customer satisfaction
• Enhanced UI 
• User friendly
• Customised product recommendations
• Easy navigation

Read more: Artificial Intelligence Applications

16. Camera motion sensor system

This camera motion sensor system can detect motion (even the slightest ones) and trigger an alarm. It uses a motion detector algorithm for detecting movements. The camera continually monitors the surrounding environment, records images of any movements in real time, and sets triggers for unusual activities in the vicinity.

To activate the system, the user must set a security code. Once it gets activated, it immediately starts monitoring the surroundings. If the alarm sets off on detecting any movement, the user must deactivate the alarm by re-entering the security code.

17. Bug tracker

This is a bug-tracking application that helps identify and track bugs in projects or systems. The project has three modules – Admin, Staff, and User.

The Admin can log in to the app and enter the details of the project and staff members, view the complaints of users, assign tasks to the members, track the bug resolution status, and send messages to users. The staff can log in to the app to view bug complaints assigned to them and start working on them. If a member is unable to resolve a bug issue, they can forward the problem to another member. As for the users, they can view the progress status of their bug complaints.

Users can also use the ticket number generated during the submission of their complaint and view the solution plan details for the same. In this way, the bug-tracking application keeps the process of monitoring and resolving software bugs transparent and seamless. 

Importance of having a Bug tracker

• Allows tracking bugs at one centralised system.
• Tracking of what the bug is, who is fixing it, and who reported it.
• The users can also understand whether their concerns have been taken care of by the team.
• Allows organisations to take preventative measures.
• Better focus on development 
• Increases the productivity

18. e-Learning platform

In this innovative project ideas for college students, you will build a shareable e-learning platform using cloud computing infrastructure for online learning. This e-learning platform powered by cloud computing would allow the independent Learning Management Systems (LMS) embedded in various e-Learning standards to share their learning objects, modules, and content. Basically, cloud computing will encourage the sharing of a wide range of learning objects, allowing learners to access them online easily.

The project has a three-layer architecture to facilitate sharing learning modules, reusing them, and interoperability among different learning content efficiently. The middle layer of the infrastructure contains an indexing module and a metadata transformation module to encourage the exchange of metadata among acknowledged e-Learning standards. This allows learners to use available learning objects without requiring them to get affiliated with any other LMS.

Importance of having an e-Learning platform

• Attracts users or potential learners.
• Integrates innovation
• Increases userbase
• Data-centric
• Promotes learning
• Allows the ed-tech to reach vast geographical locations
• Integration of study materials
• Better user experience
• Promotes a positive brand image

19. Smart health prediction system

If you are looking for software engineering projects that can significantly impact our daily lives, this might be one of the best minor project ideas for you. 

An intelligent health prediction system can transform the way people take charge of their health while also connecting them to the nearest healthcare providers immediately. Many times patients are unable to access healthcare services due to some reason or the other. The smart health prediction system seeks to solve this problem by enabling patients to get instant healthcare advice and guidance online from licensed medical practitioners. 

The smart health prediction application is an online consultation system for users. The system is fed with huge volumes of healthcare data (symptoms and the diseases or health issues associated with those symptoms). So, when a user enters their medical problems and symptoms, the application uses data mining to delve into the database and find the most accurate match of disease/illness related to those symptoms.

Furthermore, the app also provides the contact information of various medical specialists and practitioners with whom the patients can easily connect via the platform. 

Importance of having a smart health prediction system

• Allows users to access their data
• Helps in taking effective preventive measures
• Allows the users to receive instant guidance
• Associate various symptoms with illness
• Accurate results
• Helps in better forecasting

Learn about: Software Developer Salary in India

20. Software piracy protection system

The goal of developing this project is to prevent software piracy and improve protection and security measures for software. Piracy is one of the biggest threats in the industry. Hackers use malware and malicious code to gain access to software products/systems, thus, putting at stake the entire security infrastructure of a company. As a result, it is pivotal to incorporate the necessary measures and protection systems to uphold the integrity of data as well as the copyright rights of software products. 

The software piracy protection system helps keep piracy threats at bay. Users must first register for using a software product and then purchase the software via online payment. Once the payment is complete, users can download the software and the serial key for the same. The software reads the ID of your machine (PC/laptop) and generates a unique user ID by using an algorithm. The user can now log in via the user ID by providing the serial key.

The key is encrypted and is different for each machine, which makes it highly secure. After the serial key is entered, the software, too, will generate a key via encryption and match it with the serial key of the user for authentication. If the keys match, the user can access the software product, and if it doesn’t match, the software remains locked. 

Importance of having a Software piracy protection system

• Helps safeguard the system
• Prevention data systems from getting pirated
• Promotes copyright ownership
• Allows the users to take preventive measures

21. Face Detector

The goal is to develop a face detection system. The machine can analyze the face structure by matching it with the already existing data in the system. 

The device uses algorithms to detect if the face matches the data that pre-exists in the system. In case of any error, the machine reports it to the user.

Importance of having a face detector-

• It helps secure the devices
• Helps in surveillance efforts
• Better tracking down of criminals
• Promotes automated identification

22. Voice Recognition

The machine recognises the voice. The machine analyses the tone and pattern of the voice while the users are speaking, and based on that; it recognises the voice.

The device performs a Neural Machine Translation to perform machine translation. Speech recognition and classification are also involved in the process. 

Importance of voice recognition-

• Increases productivity
• Real-time text-to-speech recognition
• Brings inclusivity, as it helps the impaired persons to utilise the technology like anyone else.
• Captures speech much faster than the text.

23. Chatbots

Chatbots are integrated into almost every business today. They are engineered to mimic the human way of talking. The AI develops a human-like conversation with its users. 

The business uses chatbots as a feature to increase their sales, customer service, and more. They are also responsible for increased customer satisfaction.

Importance of chatbots-

• Increased customer satisfaction
• Improve lead generation 
• Scalability of the business
• Increases automation of the business
• Time effective
• Increases customer engagement

24. Organization Administrative Software

Corporate offices and companies also require a robust administration system that enables easy storage and manipulation of large amounts of data. Administrative management software helps you easily manage and automate the different aspects of administrative processes, such as invoicing, scheduling, reporting, document management, communication, and so on. 

Such management software can also integrate with different platforms and systems like CRM, accounting, or ERP to enable smoother data exchange and streamline workflows. Administrative software can help an organization automate tasks, enhance efficiency, improve productivity, and eliminate the scope of errors.  

Importance of organization administrative software-

• Improved data management. 
• Seamless integration across platforms for better data exchange. 
• Automation of administrative processes.
• Better productivity and reduced error.

25. Appointment Management Software

Amidst all the hustle and bustle of our everyday lives, it is great to have someone keep track of our upcoming appointments for us. If you are looking for innovative ideas for project , you can now build a dedicated software integrated with your personal management tools and tracker applications that will keep track of your important upcoming appointments and events and send you reminders accordingly. 

Importance of appointment management software-

• Efficient time management through personalized reminders.
• Better organization and avoids conflicting or overlapping schedules.

26. Stock Market Tracker 

Before the advent of applications, investors had to connect to the stock exchange and then to a stockbroker, who would charge money to purchase stocks for the investors. However, the scenario has now changed, with the entire process being completed on a mobile phone. 

A stock market tracker application can ease the task of calling brokers for every small market update. Developers and enterprises can use the API from stock exchanges and create a custom market tracker that will help investors follow the companies whose stocks they have purchased. 

The software can also include visual representations to determine the changes in the market. 

Importance of stock market tracker software-

• Enhanced accessibility and improved convenience.
• Facilitates real-time market monitoring.
• Cost-effective.

27. E-Parking Challan Generation System

Vehicle owners often leave their vehicles parked in prohibited areas. This kind of software will equip the traffic police and other concerned authorities with the power to identify vehicles that have been parked in unauthorized places.

Using such software, the police can click the photograph of the vehicle parked in an unauthorized area and scan its license plate with the help of an embedded OCR scanner. The images can then be uploaded to the central database, and an auto-generated SMS penalizing the owner will be sent to him.

The challan can either be paid online or added to the vehicle’s annual license fee.

Importance of e-parking challan generation system:

• Better accountability.
• Prompt response and notification.
• Integration of digital payment.

28. Password Manager

This is another simple yet one of the most innovative ideas for a project that beginners can work on. In this project, developers can create a simple interface where users can save all the credentials for logging in to different applications and websites.

There can also be a provision of a feature that suggests stronger passwords and occasionally reminds users to update their passwords.

Importance of password manager-

• Enhanced security.
• Better management of passwords.

Why is Project-based Learning Effective?

While you now have various engineering project design ideas to work on, do you know why employers emphasize project-based learning to IT candidates? 

Besides your skillset, your CV sets you apart from other candidates applying for a similar position. IT projects and project design ideas reflect your abilities and strengths. Real-time engineering project ideas for college students emphasize your practical skills and enable employers to learn your capabilities. 

Here are a few reasons why working on mini-project topics, and topics for mini-project software development IT projects is a sure-shot way of attaining success in the future:

• Building Problem-Solving Skills: No matter how fluent you are at programming, practical application will always bring forth new challenges related to stable applications or glitches. Only programmers with ample hands-on experience can face these challenges and create viable solutions. Working on different software development projects mini project topics or topics for mini-project beginners will help you be industry-ready and gain a competitive edge.
• Research Skills: Working on real-time projects requires candidates to perform extensive research on the topic. Hence, it’s crucial to strengthen your research and research-based skills by seeking the most relevant information needed for the project at hand. Evolved research skills can help you deliver accurate results, making you a desirable candidate for recruiters. 
• Project Management Skills: Besides skillset and work experience, employers judge candidates by their professional efficiency. How well and productively a candidate can work decides whether they deserve to be hired. You can acquire project management skills through active participation in project-based learning. A great approach is to work on diverse project ideas for college students under limited time to enhance your speed and efficiency. 
• Hands-on Experience: To make an impact as a software developer, individuals must move beyond textbooks and put their learning to practical use.

Projects can help individuals gain hands-on experience, which, in turn, can enhance their analytical and problem-solving abilities. Therefore, students who are willing to grow their skills in the domain of software development should definitely try their hands at building software.

• Time Management: Different tasks in a software development project are assigned specific time slots. Therefore, software development also makes you skilled in time management because you need to monitor if all the steps are completed within the allotted time.

These mini project ideas for IT students will help create a robust resume and portfolio. A portfolio that displays a record of successful completion of a software development project is more likely to get an edge over a resume that displays mere formal CS education. Therefore, future-proof your career as a software professional by starting early.

Technical Skills Acquired Through Software Development Projects

Working on IT projects for students and developing a software can equip amateur developers with the following technical abilities:

• Knowledge of programming languages: Programming languages form the foundation and are used by developers to send commands to the computer. Therefore, to succeed as a software developer, you must have foundational knowledge about programming languages.

Employers are likelier to hire developers who can code in multiple languages, as it accounts for their versatility. Therefore, start with learning Python and slowly move to more complex ones like Ruby and C++.

• Operating systems: Developers should also understand the relationship between applications, operating systems, and hardware. This way, they can easily design software that can function across platforms.
• Software Development Life Cycle: The Software Development Life Cycle has multiple phases that include gathering data, analyzing them, designing the products, and then finally putting them to implementation. Once implemented, the products have to be tested, deployed, and maintained from time to time.

Proper knowledge of the SDLC allows developers to anticipate a time frame and determine the number of projects they will be working on at a time.

• Database management: Developers also require a foundational knowledge of SQL programming language as it is the first step towards working effectively with the different database platforms. Software engineering projects for students also teach them the essential skills required for efficient database management.
• Debugging: Debugging refers to identifying glitches and errors in your product’s code and removing them. This helps reduce the time spent on testing.

Considering software’s tremendous impact on today’s society, software developers play an important role in helping businesses achieve their goals by aligning with user’s priorities. According to the US Bureau of Labor Statistics, the employment rate of software developers is likely to grow by 25% between 2022 and 2032.

The secret to becoming a successful Software Developer is to work on side projects. The more you experiment, the better will be your real-world programming skills.

We hope these software development innovative ideas for project have inspired you to work on software projects to hone your skills!

If you’re interested to learn more about full-stack software development, check out upGrad & IIIT-B’s Executive PG Programme in Software Development – Specialization in Full Stack Development  which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.

Something went wrong

Our Trending Software Engineering Courses

• Master of Science in Computer Science from LJMU
• Executive PG Program in Software Development Specialisation in Full Stack Development from IIIT-B
• Advanced Certificate Programme in Cyber Security from IIITB
• Full Stack Software Development Bootcamp
• Software Engineering Bootcamp from upGrad

Popular Software Development Skills

• React Courses
• Javascript Courses
• Core Java Courses
• Data Structures Courses
• ReactJS Courses
• NodeJS Courses
• Blockchain Courses
• SQL Courses
• Full Stack Development Courses
• Big Data Courses
• Devops Courses
• NFT Courses
• Cyber Security Courses
• Cloud Computing Courses
• Database Design Courses
• Crypto Courses
• Python Courses

Our Popular Software Engineering Courses

Frequently Asked Questions (FAQs)

This might appear obvious, but it is extremely important to choose the right topic. After all, you will be sinking a lot of hours into this project, and researching that topic exhaustively to be able to answer all the interviewers’ questions. Choose a project guide who has a certain degree of experience in the field. It’s a bonus if they have already published research papers before. Create a timeline before you begin working, and follow it to the letter. Implement and test your concept, and make sure it is watertight. Finally, do not compromise on the presentation and explanation. Explain things in a coherent, concise, and intuitive manner.

Creating something truly unique that actually contributes to the development of a field, is always a good idea, and seldom goes unrecognized. You can also make your project stand out by going above and beyond with the presentation, and by incorporating creative multimedia such as explanatory videos, graphics, or interactive mini-games to illustrate a concept. Supplement your research with expert interviews, hardware implementations, or computer models. Finally, do not shy away from expanding your scope of study slightly to other fields, if they are relevant to your project topic.

The final year project gives students a chance to actually apply the theoretical knowledge they have gained through the course of their degree, to solve real-world problems. This practical experience is essential for them to join the workforce. The conception and execution of a project give recruiters an idea about your work ethic. They also develop an idea about your commitment to a task, creativity, and attention to detail, based on your answers when they ask you about the deeper technical aspects of your project. In a nutshell, your final year project is considered a comprehensive summary of your undergraduate study.

After acquiring all the theoretical knowledge, the first step to becoming a successful software developer is laying hands on a software development project, which will help you gain hands-on experience and put your knowledge and skills to use. Pick from one amongst the many innovation ideas for software companies, and start working on it.

Developing a software project involves a number of steps. One has to determine the feasibility of all major project ideas, design them, incorporate frameworks and methodologies, write codes, coordinate with the teams, look for issues, address the changes, and finally deploy it and seek feedback.

Software development minor topics are not only relevant in the modern industry, but they also equip budding developers with all the skills they will require to develop larger projects.

Related Programs View All

Certification

40 Hrs Live, Expert-Led Sessions

2 High-Quality Practice Exams

View Program

Executive PG Program

IIIT-B Alumni Status

Master's Degree

40000+ Enrolled Learners

Job Assistance

32-Hr Training by Dustin Brimberry

Question Bank with 300+ Practice Qs

45 Hrs Live Expert-Led Training

Microsoft-Approved Curriculum

159+ Hours of Live Sessions

126+ Hours of Live Sessions

Fully Online

13+ Hrs Instructor-Led Sessions

Live Doubt-Solving Sessions

2 Unique Specialisations

300+ Hiring Partners

20+ Hrs Instructor-Led Sessions

16 Hrs Live Expert-Led Training

CLF-C02 Exam Prep Support

24 Hrs Live Expert-Led Training

4 Real-World Capstone Projects

17+ Hrs Instructor-Led Training

3 Real-World Capstone Projects

289 Hours of Self-Paced Learning

10+ Capstone Projects

490+ Hours Self-Paced Learning

4 Real-World Projects

690+ Hours Self-Paced Learning

Cloud Labs-Enabled Learning

288 Hours Self-Paced Learning

9 Capstone Projects

40 Hrs Live Expert-Led Sessions

2 Mock Exams, 9 Assessments

Executive PG Certification

GenAI integrated curriculum

Job Prep Support

Instructor-Led Sessions

Hands-on UI/UX

16 Hrs Live Expert-Led Sessions

12 Hrs Hand-On Practice

30+ Hrs Live Expert-Led Sessions

24+ Hrs Hands-On with Open Stack

2 Days Live, Expert-Led Sessions

34+ Hrs Instructor-Led Sessions

10 Real-World Live Projects

24 Hrs Live Expert-Led Sessions

16 Hrs Hand-On Practice

8 Hrs Instructor-Led Training

Case-Study Based Discussions

40 Hrs Instructor-Led Sessions

Hands-On Practice, Exam Support

24-Hrs Live Expert-Led Sessions

Regular Doubt-Clearing Sessions

Extensive Exam Prep Support

6 Hrs Live Expert-Led Sessions

440+ Hours Self-Paced Learning

400 Hours of Cloud Labs

15-Hrs Live Expert-Led Sessions

32 Hrs Live Expert-Led Sessions

28 Hrs Hand-On Practice

Mentorship by Industry Experts

24 Hrs Live Trainer-Led Sessions

Mentorship by Certified Trainers

Full Access to Digital Resources

16 Hrs Live Instructor-Led Sessions

80+ Hrs Hands-On with Cloud Labs

160+ Hours Live Instructor-Led Sessions

Hackathons and Mock Interviews

31+ Hrs Instructor-Led Sessions

120+ Hrs of Cloud Labs Access

35+ Hrs Instructor-Led Sessions

6 Real-World Live Projects

24+ Hrs Instructor-Led Training

Self-Paced Course by Nikolai Schuler

Access Digital Resources Library

300+ Hrs Live Expert-Led Training

90 Hrs Doubt Clearing Sessions

56 Hours Instructor-Led Sessions

78 Hrs Live Expert-Led Sessions

22 Hrs Live, Expert-Led Sessions

CISA Job Practice Exams

Explore Free Courses

Learn more about the education system, top universities, entrance tests, course information, and employment opportunities in Canada through this course.

Advance your career in the field of marketing with Industry relevant free courses

Build your foundation in one of the hottest industry of the 21st century

Master industry-relevant skills that are required to become a leader and drive organizational success

Build essential technical skills to move forward in your career in these evolving times

Get insights from industry leaders and career counselors and learn how to stay ahead in your career

Kickstart your career in law by building a solid foundation with these relevant free courses.

Stay ahead of the curve and upskill yourself on Generative AI and ChatGPT

Build your confidence by learning essential soft skills to help you become an Industry ready professional.

Learn more about the education system, top universities, entrance tests, course information, and employment opportunities in USA through this course.

Suggested Blogs

by Rohan Vats

05 Mar 2024

by Prateek Singh

29 Feb 2024

by venkatesh Rajanala

by Harish K

by Geetika Mathur

by spandita hati

28 Feb 2024

• How it Works

150+ Presentation Topics To Make an Impact Instantly

Presentations

Picture Yourself as the Star of a Presentation.

To really shine, you need a topic that grabs everyone’s attention. It’s more than just speaking well or having cool slides; it all starts with a topic that makes your audience curious.

Imagine standing in front of a group, not just sharing facts, but telling a story that keeps everyone interested. Presentations aren’t only about work or school; they’re a chance to be creative and make things interesting.

Every day, there are 50,000 presentations happening. They’re not all serious business or school stuff; some are about fun and quirky things like a duck on a tricycle or a dog wearing glasses. It’s surprising, right?

Still, half of people get bored during presentations. That’s why it’s crucial to make them exciting. That’s where our ideas come in—over 150 of them! And here’s the cool part: these ideas aren’t just for offices or classrooms; they’re for any time you want to share something in a fun way.

So, get ready to explore 150+ presentation ideas that will help you make an impact instantly.

How to Choose the Best Presentation Topic: Step-by-Step Process

Picking the right presentation topic is like winning half the battle before you even begin. After selecting your topic, you’ll focus on content creation and presentation design. If you need help with presentation designs, consider Design Shifu , offering dedicated designers for your needs. You get unlimited designs for a flat monthly fee, which includes not only presentation designs but also services like infographics, social media designs, logo design, etc. Now, back to the topic selection. You need to strike a balance between creativity and relevance to make an impact on the right audience. Here’s a step-by-step guide to help you choose a compelling topic:

How : Conduct surveys or interviews to understand your audience’s interests, needs, and knowledge level. Example : For a group of professionals, consider topics related to their industry trends or challenges.

How : Reflect on your strengths, experiences, and knowledge areas. Example : With a digital marketing background, a topic like Effective Social Media Strategies for Business Growth might be ideal.

How : Stay updated on current events, industry trends, and popular discussions. Example : In technology, a presentation on The Future of Artificial Intelligence in Everyday Life can be timely and interesting.

How : Identify challenges your audience faces and offer solutions. Example : For entrepreneurs, Overcoming Common Startup Challenges can be highly relevant.

How : Relate your topic to the audience’s daily lives or work. Example : A presentation on Time Management Hacks for Busy Professionals can be relatable and valuable.

How : Consider using a storytelling approach, case studies, or interactive elements. Example : Instead of Benefits of Healthy Living, structure it as a personal journey with before-and-after anecdotes.

How : Clarify your presentation’s purpose (educate, persuade, entertain) and choose a topic that aligns. Example : For inspiration, Unleashing Creativity in the Workplace could be impactful.

How : Pitch your topic ideas to a small group or colleagues for feedback. Example : Present brief overviews of two potential topics and ask for input on which generates more interest.

How : Incorporate visuals to enhance your presentation or get help from presentation design experts like Design Shifu . Example : A presentation on The Power of Data Visualization can include compelling charts and graphics.

How : Choose a topic you are genuinely passionate about. Example : If passionate about environmental issues, a presentation on Sustainable Practices in Everyday Life will be engaging and authentic.

Remember to tailor these tips to your specific context, and feel free to combine multiple elements to create a unique and impactful presentation topic that resonates with your audience.

General Presentation Topic Ideas for 2024

• The Future of Virtual Reality in Education
• The Psychology of Decision-Making: Unraveling the Influences
• Sustainable Fashion: Balancing Style and Ethics
• Blockchain Beyond Cryptocurrency: Real-World Applications
• The Art of Storytelling in Marketing: Creating Lasting Impressions
• The Impact of Social Media on Mental Health
• Innovative Approaches to Urban Planning for a Sustainable Future
• Biohacking: Enhancing Human Performance through Technology
• The Rise of Remote Work: Challenges and Opportunities
• Exploring the Intersection of Art and Artificial Intelligence

Leadership Topic Ideas for Presentation

• Servant Leadership: A Paradigm Shift in Management
• Leading with Empathy in the Corporate World
• Adaptive Leadership in Times of Uncertainty
• The Role of Emotional Intelligence in Effective Leadership
• Leadership Lessons from Unlikely Sources: Animals, Nature, and Beyond
• Fostering a Culture of Innovation: Leadership Strategies
• The Power of Authentic Leadership in Building Trust
• Cross-Cultural Leadership: Navigating Global Teams
• Resilient Leadership: Bouncing Back from Setbacks
• Balancing Confidence and Humility: The Art of Humble Leadership

Business Communication Topic Ideas for Presentation

• Non-verbal Communication in the Digital Age
• Crisis Communication: Strategies for Effective Response
• Navigating Difficult Conversations in the Workplace
• The Influence of Language on Business Negotiations
• The Art of Persuasion: Building Convincing Arguments
• Digital Etiquette: Navigating Professionalism Online
• The Role of Empathy in Customer Communication
• Building a Strong Personal Brand through Communication
• Overcoming Communication Barriers in Diverse Teams
• Humor in Business Communication: When and How to Use It

Presentation Topic Ideas for Controversial Issues

• The Ethics of Genetic Engineering: Navigating the CRISPR Era
• Exploring Both Sides: The Controversy of Universal Basic Income
• The Debate on Privacy vs. National Security in the Digital Age
• The Morality of Artificial Intelligence: Can Machines Have Ethics?
• The Role of Government in Regulating Social Media: Striking the Right Balance
• Medical Marijuana: Bridging the Gap between Medicine and Recreation
• The Controversy of Fast Fashion: Environmental Impact vs. Accessibility
• The Ethics of Animal Testing: Finding Alternatives
• Free Speech in the Digital Space: Where to Draw the Line?
• The Impact of Cancel Culture: Constructive Criticism or Online Harassment?

Presentation Topics Ideas for Designing

• The Psychology of Color in Graphic Design: A Deep Dive
• User-Centered Design: Shaping Products Around People’s Needs
• Minimalism vs. Maximalism: Finding the Right Design Balance
• Designing for Accessibility: Ensuring Inclusivity in Every Interface
• The Evolution of Logo Design: From Tradition to Modern Trends
• Immersive Experiences in Web Design: Beyond the Screen
• The Art of Visual Storytelling: Engaging Audiences through Design
• Typography Trends: Balancing Readability and Aesthetics
• Environmental Design: Merging Sustainability with Aesthetics
• Augmented Reality in Design: Enhancing User Experiences

Presentation Topics Ideas for Marketing

• The Psychology of Consumer Behavior: Understanding the Purchase Decision
• Influencer Marketing: Strategies for Authentic Brand Partnerships
• The Power of Emotional Marketing: Creating Lasting Connections
• Content Marketing in the Age of Information Overload
• Ethical Marketing: Building Trust and Loyalty with Transparency
• The Future of Social Media Marketing: Emerging Platforms and Trends
• Neuromarketing: Leveraging Brain Science to Drive Engagement
• Storytelling in Branding: Crafting Compelling Narratives
• Data-Driven Marketing: Turning Analytics into Actionable Insights
• Interactive Marketing Campaigns: Engaging Audiences in the Digital Age

Presentation Topics Ideas for Entrepreneurship

• Bootstrapping vs. Funding: Choosing the Right Path for Your Startup
• The Role of Failure in Entrepreneurial Success: Embracing Setbacks
• Social Entrepreneurship: Making a Profit with a Purpose
• Innovative Business Models: Disrupting Traditional Industries
• The Art of Pitching: Capturing Investors’ Attention in 5 Minutes
• Balancing Creativity and Structure in Entrepreneurial Ventures
• Building a Sustainable Business: Environmental and Financial Considerations
• The Future of E-Commerce: Trends and Opportunities
• Cultivating a Culture of Innovation in Small Businesses
• The Gig Economy: Navigating the Rise of Freelance and Remote Work

Presentation Topic Ideas for Personal Experiences

• Turning Adversity into Strength: Lessons from Personal Challenges
• My Journey in [Specific Industry]: Lessons Learned and Insights Gained
• The Impact of Travel on Personal Growth and Perspective
• Lessons from Parenting: Applying Family Insights in Professional Life
• Overcoming Fear of Public Speaking: A Personal Triumph
• Navigating Cross-Cultural Experiences: Stories of Adaptation
• From Passion to Profession: Pursuing Your Dreams
• The Power of Vulnerability in Building Meaningful Connections
• Balancing Work and Personal Life: My Successes and Failures
• Lessons from a Hobby: How [Specific Hobby] Shaped My Outlook

Presentation Topic Ideas for Current Trends

• The Metaverse: Exploring the Next Frontier of Digital Interaction
• Decentralized Finance (DeFi): Transforming Traditional Banking Systems
• NFTs (Non-Fungible Tokens): Redefining Ownership in the Digital Age
• The Evolution of Electric Vehicles: Sustainable Transportation Trends
• The Subscription Economy: Shifting from Ownership to Access
• Health and Wellness Tech: The Rise of Wearables and Digital Health
• Micro-Moments in Marketing: Capturing Attention in Seconds
• The Influence of Remote Learning on Education: Challenges and Innovations
• Circular Economy: Reducing Waste and Promoting Sustainable Consumption
• Productizing the services in 2024

Presentation Topic Ideas for Industry Insights

• Revolutionizing Healthcare: The Impact of Telemedicine and Health Tech
• Smart Cities: Integrating Technology for Urban Development
• The Future of Aerospace: Space Tourism and Beyond
• Renewable Energy Innovations: Advancements in Solar, Wind, and Beyond
• Evolving Trends in the Fashion Industry: Sustainability and Tech Integration
• The Changing Landscape of Food Industry: Plant-Based and Lab-Grown Alternatives
• Emerging Trends in the Gaming Industry: AR, VR, and Cloud Gaming
• Transforming Agriculture: AgTech Solutions for a Sustainable Future
• The Future of Transportation: Hyperloop, Autonomous Vehicles, and Drones
• Innovations in Construction: Sustainable Materials and Smart Infrastructure

Presentation Topic Ideas for Digital Marketing

• Voice Search Optimization: Adapting to Changing Search Patterns
• The Role of Chatbots in Customer Engagement: Enhancing User Experience
• Video Marketing Strategies: Creating Compelling Visual Content
• Interactive Email Campaigns: Beyond the Click-Through Rate
• The Impact of AI on Personalizing Digital Marketing Campaigns
• Podcasting as a Marketing Tool: Building Authority and Connection
• Virtual Events and Experiences: Engaging Audiences in a Digital Landscape
• Data Privacy in Digital Marketing: Navigating Regulations and Trust
• The Power of User-Generated Content: Turning Customers into Advocates
• Inclusive Marketing: Representing Diversity in Brand Campaigns

Presentation Topic Ideas for AI (Artificial Intelligence)

• Ethical Considerations in AI: Addressing Bias and Fairness
• Explainable AI: Bridging the Gap Between Complexity and Understanding
• AI in Healthcare: Diagnosing, Treating, and Preventing Diseases
• The Role of AI in Climate Change: From Prediction to Mitigation
• AI and Creativity: Exploring the Intersection of Technology and Art
• AI in Education: Personalized Learning and Classroom Integration
• Robotics and AI in Manufacturing: Transforming Production Processes
• AI-Enhanced Cybersecurity: Protecting Against Evolving Threats
• Natural Language Processing: Breaking Barriers in Human-Computer Interaction
• AI for Social Good: Solving Global Challenges with Technology

Presentation Topic Ideas for Sales Consulting

• Consultative Selling: Building Relationships and Adding Value
• Sales Psychology: Understanding Customer Motivations and Objections
• Adapting to the Digital Sales Landscape: Strategies for Online Selling
• The Art of Negotiation: Techniques for Successful Deal-Making
• Sales Automation: Streamlining Processes for Efficiency and Effectiveness
• Account-Based Selling: Tailoring Strategies for Targeted Clientele
• The Future of B2B Sales: Trends and Technologies Shaping the Industry
• Building a Personal Brand for Sales Success: Online and Offline
• Customer Retention Strategies: Going Beyond the Initial Sale
• Storyselling: Using Narratives to Persuade and Connect with Customers

Presentation Topic Ideas for Time Management

• The Pomodoro Technique: Boosting Productivity with Time Blocks
• Time Management for Remote Workers: Balancing Flexibility and Structure
• Eisenhower Matrix: Prioritizing Tasks for Maximum Impact
• Mindful Time Management: Incorporating Meditation and Reflection
• Time Blocking for Success: Structuring Your Day for Optimal Performance
• Effective Goal Setting: Aligning Tasks with Long-Term Objectives
• Technology and Time Management: Tools for Efficiency and Focus
• The 2-Minute Rule: Tackling Small Tasks for Immediate Progress
• Batch Processing: Streamlining Work by Grouping Similar Activities
• Time Management in Leadership: Balancing Responsibilities and Delegation

Presentation Topic Ideas for Technology

• The Evolution of Cybersecurity: Adapting to Emerging Threats
• Cloud Computing Trends: From Infrastructure to Platform as a Service
• Blockchain in Business: Beyond Cryptocurrency Applications
• The Future of Quantum Computing: Revolutionizing Data Processing
• 5G Technology: Implications for Connectivity and Innovation
• Edge Computing: Reducing Latency and Enhancing Performance
• The Role of DevOps in Streamlining Software Development and Operations
• Cybersecurity in the Internet of Things (IoT): Protecting Connected Devices
• Augmented Reality in IT: Enhancing User Experiences and Workflows
• Data Governance and Privacy: Navigating Legal and Ethical Considerations

Presentation Topics Ideas for Corporate Business Leaders 

• Agile Business Models: Adapting to Rapid Change and Uncertainty
• Creating a Culture of Innovation: Strategies for Fostering Creativity
• Business Ethics in the Age of Transparency: Building Trust with Stakeholders
• The Future of Work: Redefining the Employee Experience
• Strategic Partnerships: Collaborative Approaches to Business Growth
• Globalization vs. Localization: Finding the Right Balance in Business Expansion
• Intrapreneurship: Nurturing Entrepreneurial Spirit within Large Organizations
• Crisis Management in Business: Strategies for Resilience and Recovery
• The Impact of Corporate Social Responsibility on Brand Reputation
• Business Model Innovation: Rethinking Traditional Approaches for Success

Work-Life Presentation Topic Idea s

• Remote Team Building: Strategies for Fostering Collaboration and Connection
• Embracing a Growth Mindset in the Workplace: Navigating Challenges with a Positive Perspective
• Balancing Work and Parenthood: Tips for Working Parents
• Building a Culture of Inclusivity: Creating a Supportive and Diverse Work Environment
• The Future of Flexible Work: Adapting to Changing Work Structures
• Mindful Leadership: Integrating Mindfulness Practices for Effective Management
• Navigating Workplace Conflict: Strategies for Resolution and Relationship Building
• Workplace Well-being Programs: Enhancing Employee Health and Productivity
• The Importance of Continuous Learning: Staying Relevant in a Rapidly Changing Work Environment
• Resilience in the Face of Professional Setbacks: Bouncing Back from Career Challenges

DESIGN SHIFU

Read design shifu's articles and profile., privacy overview.

For enquiries call:

+1-469-442-0620

• Programming

Top 10 Software Engineer Research Topics for 2024

Home Blog Programming Top 10 Software Engineer Research Topics for 2024

Software engineering, in general, is a dynamic and rapidly changing field that demands a thorough understanding of concepts related to programming, computer science, and mathematics. As software systems become more complicated in the future, software developers must stay updated on industry innovations and the latest trends. Working on software engineering research topics is an important part of staying relevant in the field of software engineering. 

Software engineers can do research to learn about new technologies, approaches, and strategies for developing and maintaining complex software systems. Software engineers can conduct research on a wide range of topics. Software engineering research is also vital for increasing the functionality, security, and dependability of software systems. Going for the Top Programming Certification course contributes to the advancement of the field's state of the art and assures that software engineers can continue to build high-quality, effective software systems.

What are Software Engineer Research Topics?

Software engineer research topics are areas of exploration and study in the rapidly evolving field of software engineering. These research topics include various software development approaches, quality of software, testing of software, maintenance of software, security measures for software, machine learning models in software engineering, DevOps, and architecture of software. Each of these software engineer research topics has distinct problems and opportunities for software engineers to investigate and make major contributions to the field. In short, research topics for software engineering provide possibilities for software engineers to investigate new technologies, approaches, and strategies for developing and managing complex software systems. 

For example, research on agile software development could identify the benefits and drawbacks of using agile methodology, as well as develop new techniques for effectively implementing agile practices. Software testing research may explore new testing procedures and tools, as well as assess the efficacy of existing ones. Software quality research may investigate the elements that influence software quality and develop approaches for enhancing software system quality and minimizing the faults and errors. Software metrics are quantitative measures that are used to assess the quality, maintainability, and performance of software. 

The research papers on software engineering topics in this specific area could identify novel measures for evaluating software systems or techniques for using metrics to improve the quality of software. The practice of integrating code changes into a common repository and pushing code changes to production in small, periodic batches is known as continuous integration and deployment (CI/CD). This research could investigate the best practices for establishing CI/CD or developing tools and approaches for automating the entire CI/CD process.

Top Software Engineer Research Topics

1. artificial intelligence and software engineering.

Intersections between AI and SE

The creation of AI-powered software engineering tools is one potential research area at the intersection of artificial intelligence (AI) and software engineering. These technologies use AI techniques that include machine learning, natural language processing, and computer vision to help software engineers with a variety of tasks throughout the software development lifecycle. An AI-powered code review tool, for example, may automatically discover potential flaws or security vulnerabilities in code, saving developers a lot of time and lowering the chance of human error. Similarly, an AI-powered testing tool might build test cases and analyze test results automatically to discover areas for improvement. 

Furthermore, AI-powered project management tools may aid in the planning and scheduling of projects, resource allocation, and risk management in the project. AI can also be utilized in software maintenance duties such as automatically discovering and correcting defects or providing code refactoring solutions. However, the development of such tools presents significant technical and ethical challenges, such as the necessity of large amounts of high-quality data, the risk of bias present in AI algorithms, and the possibility of AI replacing human jobs. Continuous study in this area is therefore required to ensure that AI-powered software engineering tools are successful, fair, and responsible.

Knowledge-based Software Engineering

Another study area that overlaps with AI and software engineering is knowledge-based software engineering (KBSE). KBSE entails creating software systems capable of reasoning about knowledge and applying that knowledge to enhance software development processes. The development of knowledge-based systems that can help software engineers in detecting and addressing complicated problems is one example of KBSE in action. To capture domain-specific knowledge, these systems use knowledge representation techniques such as ontologies, and reasoning algorithms such as logic programming or rule-based systems to derive new knowledge from already existing data. 

KBSE can be utilized in the context of AI and software engineering to create intelligent systems capable of learning from past experiences and applying that information to improvise future software development processes. A KBSE system, for example, may be used to generate code based on previous code samples or to recommend code snippets depending on the requirements of a project. Furthermore, KBSE systems could be used to improve the precision and efficiency of software testing and debugging by identifying and prioritizing bugs using knowledge-based techniques. As a result, continued research in this area is critical to ensuring that AI-powered software engineering tools are productive, fair, and responsible.

2. Natural Language Processing

Multimodality

Multimodality in Natural Language Processing (NLP) is one of the appealing research ideas for software engineering at the nexus of computer vision, speech recognition, and NLP. The ability of machines to comprehend and generate language from many modalities, such as text, speech, pictures, and video, is referred to as multimodal NLP. The goal of multimodal NLP is to develop systems that can learn from and interpret human communication across several modalities, allowing them to engage with humans in more organic and intuitive ways. 

The building of conversational agents or chatbots that can understand and create responses using several modalities is one example of multimodal NLP in action. These agents can analyze text input, voice input, and visual clues to provide more precise and relevant responses, allowing users to have a more natural and seamless conversational experience. Furthermore, multimodal NLP can be used to enhance language translation systems, allowing them to more accurately and effectively translate text, speech, and visual content.

The development of multimodal NLP systems must take efficiency into account. as multimodal NLP systems require significant computing power to process and integrate information from multiple modalities, optimizing their efficiency is critical to ensuring that they can operate in real-time and provide users with accurate and timely responses. Developing algorithms that can efficiently evaluate and integrate input from several modalities is one method for improving the efficiency of multimodal NLP systems. 

Overall, efficiency is a critical factor in the design of multimodal NLP systems. Researchers can increase the speed, precision, and scalability of these systems by inventing efficient algorithms, pre-processing approaches, and hardware architectures, allowing them to run successfully and offer real-time replies to consumers. Software Engineering training will help you level up your career and gear up to land you a job in the top product companies as a skilled Software Engineer. 

3. Applications of Data Mining in Software Engineering

Mining Software Engineering Data

The mining of software engineering data is one of the significant research paper topics for software engineering, involving the application of data mining techniques to extract insights from enormous datasets that are generated during software development processes. The purpose of mining software engineering data is to uncover patterns, trends, and various relationships that can inform software development practices, increase software product quality, and improve software development process efficiency. 

Mining software engineering data, despite its potential benefits, has various obstacles, including the quality of data, scalability, and privacy of data. Continuous research in this area is required to develop more effective data mining techniques and tools, as well as methods for ensuring data privacy and security, to address these challenges. By tackling these issues, mining software engineering data can continue to promote many positive aspects in software development practices and the overall quality of product.

Clustering and Text Mining

Clustering is a data mining approach that is used to group comparable items or data points based on their features or characteristics. Clustering can be used to detect patterns and correlations between different components of software, such as classes, methods, and modules, in the context of software engineering data. 

On the other hand, text mining is a method of data mining that is used to extract valuable information from unstructured text data such as software manuals, code comments, and bug reports. Text mining can be applied in the context of software engineering data to find patterns and trends in software development processes

4. Data Modeling

Data modeling is an important area of research paper topics in software engineering study, especially in the context of the design of databases and their management. It involves developing a conceptual model of the data that a system will need to store, organize, and manage, as well as establishing the relationships between various data pieces. One important goal of data modeling in software engineering research is to make sure that the database schema precisely matches the system's and its users' requirements. Working closely with stakeholders to understand their needs and identify the data items that are most essential to them is necessary.

5. Verification and Validation

Verification and validation are significant research project ideas for software engineering research because they help us to ensure that software systems are correctly built and suit the needs of their users. While most of the time, these terms are frequently used interchangeably, they refer to distinct stages of the software development process. The process of ensuring that a software system fits its specifications and needs is referred to as verification. This involves testing the system to confirm that it behaves as planned and satisfies the functional and performance specifications. In contrast, validation is the process of ensuring that a software system fulfils the needs of its users and stakeholders. 

This includes ensuring that the system serves its intended function and meets the requirements of its users. Verification and validation are key components of the software development process in software engineering research. Researchers can help to improve the functionality and dependability of software systems, minimize the chance of faults and mistakes, and ultimately develop better software products for their consumers by verifying that software systems are designed correctly and that they satisfy the needs of their users.

6. Software Project Management

Software project management is an important component of software engineering research because it comprises the planning, organization, and control of resources and activities to guarantee that software projects are finished on time, within budget, and to the needed quality standards. One of the key purposes of software project management in research is to guarantee that the project's stakeholders, such as users, clients, and sponsors, are satisfied with their needs. This includes defining the project's requirements, scope, and goals, as well as identifying potential risks and restrictions to the project's success.

7. Software Quality

The quality of a software product is defined as how well it fits in with its criteria, how well it performs its intended functions, and meets the needs of its consumers. It includes features such as dependability, usability, maintainability, effectiveness, and security, among others. Software quality is a prominent and essential research topic in software engineering. Researchers are working to provide methodologies, strategies, and tools for evaluating and improving software quality, as well as forecasting and preventing software faults and defects. Overall, software quality research is a large and interdisciplinary field that combines computer science, engineering, and statistics. Its mission is to increase the reliability, accessibility, and overall quality of software products and systems, thereby benefiting both software developers and end consumers.

8. Ontology

Ontology is a formal specification of a conception of a domain used in computer science to allow knowledge sharing and reuse. Ontology is a popular and essential area of study in the context of software engineering research. The construction of ontologies for specific domains or application areas could be a research topic in ontology for software engineering. For example, a researcher may create an ontology for the field of e-commerce to give common knowledge and terminology to software developers as well as stakeholders in that domain. The integration of several ontologies is another intriguing study topic in ontology for software engineering. As the number of ontologies generated for various domains and applications grows, there is an increasing need to integrate them in order to enable interoperability and reuse.

9. Software Models

In general, a software model acts as an abstract representation of a software system or its components. Software models can be used to help software developers, different stakeholders, and users communicate more effectively, as well as to properly evaluate, design, test, and maintain software systems. The development and evaluation of modeling languages and notations is one research example connected to software models. Researchers, for example, may evaluate the usefulness and efficiency of various modeling languages, such as UML or BPMN, for various software development activities or domains. 

Researchers could also look into using software models for software testing and verification. They may investigate how models might be used to produce test cases or to do model checking, a formal technique for ensuring the correctness of software systems. They may also examine the use of models for monitoring at runtime and software system adaptation.

The Software Development Life Cycle (SDLC) is a software engineering process for planning, designing, developing, testing, and deploying software systems. SDLC is an important research issue in software engineering since it is used to manage software projects and ensure the quality of the resultant software products by software developers and project managers. The development and evaluation of novel software development processes is one SDLC-related research topic. SDLC research also includes the creation and evaluation of different software project management tools and practices. 

Researchers may also check the implementation of SDLC in specific sectors or applications. They may, for example, investigate the use of SDLC in the development of systems that are more safety-critical, such as medical equipment or aviation systems, and develop new processes or tools to ensure the safety and reliability of these systems. They may also look into using SDLC to design software systems in new sectors like the Internet of Things or in blockchain technology.

Why is Software Engineering Required?

Software engineering is necessary because it gives a systematic way to developing, designing, and maintaining reliable, efficient, and scalable software. As software systems have become more complicated over time, software engineering has become a vital discipline to ensure that software is produced in a way that is fully compatible with end-user needs, reliable, and long-term maintainable.

When the cost of software development is considered, software engineering becomes even more important. Without a disciplined strategy, developing software can result in overinflated costs, delays, and a higher probability of errors that require costly adjustments later. Furthermore, software engineering can help reduce the long-term maintenance costs that occur by ensuring that software is designed to be easy to maintain and modify. This can save money in the long run by lowering the number of resources and time needed to make software changes as needed.

2. Scalability

Scalability is an essential factor in software development, especially for programs that have to manage enormous amounts of data or an increasing number of users. Software engineering provides a foundation for creating scalable software that can evolve over time. The capacity to deploy software to diverse contexts, such as cloud-based platforms or distributed systems, is another facet of scalability. Software engineering can assist in ensuring that software is built to be readily deployed and adjusted for various environments, resulting in increased flexibility and scalability.

3. Large Software

Developers can break down huge software systems into smaller, simpler parts using software engineering concepts, making the whole system easier to maintain. This can help to reduce the software's complexity and makes it easier to maintain the system over time. Furthermore, software engineering can aid in the development of large software systems in a modular fashion, with each module doing a specific function or set of functions. This makes it easier to push new features or functionality to the product without causing disruptions to the existing codebase.

4. Dynamic Nature

Developers can utilize software engineering techniques to create dynamic content that is modular and easily modifiable when user requirements change. This can enable adding new features or functionality to dynamic content easier without disturbing the existing codebase. Another factor to consider for dynamic content is security. Software engineering can assist in ensuring that dynamic content is generated in a secure manner that protects user data and information.

5. Better Quality Management

An organized method of quality management in software development is provided by software engineering. Developers may ensure that software is conceived, produced, and maintained in a way that fulfills quality requirements and provides value to users by adhering to software engineering principles. Requirement management is one component of quality management in software engineering. Testing and validation are another part of quality control in software engineering. Developers may verify that their software satisfies its requirements and is error-free by using an organized approach to testing.

In conclusion, the subject of software engineering provides a diverse set of research topics with the ability to progress the discipline while enhancing software development and maintenance procedures. This article has dived deep into various research topics in software engineering for masters and research topics for software engineering students such as software testing and validation, software security, artificial intelligence, Natural Language Processing, software project management, machine learning, Data Mining, etc. as research subjects. Software engineering researchers have an interesting chance to explore these and other research subjects and contribute to the development of creative solutions that can improve software quality, dependability, security, and scalability. 

Researchers may make important contributions to the area of software engineering and help tackle some of the most serious difficulties confronting software development and maintenance by staying updated with the latest research trends and technologies. As software grows more important in business and daily life, there is a greater demand for current research topics in software engineering into new software engineering processes and techniques. Software engineering researchers can assist in shaping the future of software creation and maintenance through their research, ensuring that software stays dependable, safe, reliable and efficient in an ever-changing technological context. KnowledgeHut’s top Programming certification course will help you leverage online programming courses from expert trainers.

Frequently Asked Questions (FAQs)

Ans: To find a research topic in software engineering, you can review recent papers and conference proceedings, talk to different experts in the field, and evaluate your own interests and experience. You can use a combination of these approaches. 

Ans: You should study software development processes, various programming languages and their frameworks, software testing and quality assurance, software architecture, various design patterns that are currently being used, and software project management as a software engineering student. 

Ans: Empirical research, experimental research, surveys, case studies, and literature reviews are all types of research in software engineering. Each sort of study has advantages and disadvantages, and the research method chosen is determined by the research objective, resources, and available data. 

Eshaan Pandey

Eshaan is a Full Stack web developer skilled in MERN stack. He is a quick learner and has the ability to adapt quickly with respect to projects and technologies assigned to him. He has also worked previously on UI/UX web projects and delivered successfully. Eshaan has worked as an SDE Intern at Frazor for a span of 2 months. He has also worked as a Technical Blog Writer at KnowledgeHut upGrad writing articles on various technical topics.

Avail your free 1:1 mentorship session.

Something went wrong

Upcoming Programming Batches & Dates

Craft Effective Technical Presentations: 5 Success Strategies

Dominik Sumer

Aug 30, 2023 · 8 min read

Technical presentations can be tricky to execute. You know your subject inside out, but is that enough?

How do you ensure your audience stays engaged throughout the presentation, and how do you answer their questions effectively?

This blog post provides modern strategies for crafting effective technical presentations, covering all aspects, from understanding your audience to handling questions and feedback.

You will also learn about the practical parts of technical presentations, including proper tools and examples.

These tips will help you deliver a successful presentation that makes a lasting impact on your audience.

Anyone can use this guide as a checklist , but the following can get huge benefits:

• Software Engineers or Developers
• Tech YouTubers
• Candidates who are presenting in tech interviews
• Social Media Influences like tech on LinkedIn
• Students, Tech Teachers, and much more.

Identify your Audience:

In our previous guide about technical writing , we shared 19 expert tips you should know.

Let me quickly highlight the five most important tips:

• Understand Audience
• Define Purpose
• Always do your research
• Organize thoughts
• Avoid Jargon and Acronyms

Understanding your audience is not a first step but why?

Because first, you need to identify WHO is your target audience.

Question it by yourself, and write down the three closest audiences like:

• JavaScript Developers: Those who want to learn about JavaScript technologies. You can help them learn the tech faster by sharing beautiful code snippets .
• SaaS Owners: Those tech founders who want to learn about the ongoing development progress of their software. Give them tips on how to tackle obstacles in software development by using technical presentation slides .
• Tech Talks: Those interested in code screencasts within the video content like YouTube or TED Talks. You can use rich animated content, like videos created with snappify.

So, identify your audience first and use the smart tools to simplify things for you and the audience.

Use Smart Tools:

So, what are smart tools in the digital world?

Smart Tools are intelligent software applications that help users perform complex tasks more efficiently and effectively.

They simplify processes, improve productivity, and help achieve goals quickly and easily online.

You can learn about our curated list of technical writing tools , which comes with Artificial Intelligence.

Before using your tool for technical presentations, make sure to check these features first:

• Can you create a fully animated slide?
• Is there any feature for Video Export?
• The tool must be user-friendly to avoid presentation disruptions.
• Clear and visually appealing infographics are important for tools with graphs, diagrams, or slides.

Now that you know enough about the features, here is another list of modern tools to help you become a good presenter.

• Snappify: It can help you present code beautifully and has all the features I have mentioned above. It also has pre-made templates to help you create and share snippets faster.
• PowerPoint: A user-friendly software for creating dynamic presentations with text, images, charts, and multimedia elements.
• Google Slides: A web based presentation tool that lets users create basic presentations and save them online.

Let's take a closer look at the Slides and Video Export features of snappify and how it can become your new companion for your technical presentations.

It comes with a Present button at the top of the bar, which can help you show your code snippets in the presentation mode.

In slides, there are several options for animations:

Besides showing your presentation, you can download all slides or export videos to share on social media.

You can follow this tutorial on creating code presentations with snappify .

Video Export : TypeWriter Example

Video showcasing the TypeWriter transition

Structure Your Presentation

To craft an effective technical presentation, it is crucial to structure your content in a clear and logical flow .

Begin with an attention-grabbing introduction that captivates your audience and sets the tone for the presentation.

Organize your content into sections or chapters, making it easier for your audience to comprehend and follow along.

• Divide your presentation into key sections or points.
• Each section should have a clear focus and contribute to your main message.
• Use bullet points and concise text to support each point.
• Transition smoothly between sections to maintain a logical flow.
• Include visuals such as images, charts, graphs, animations , and videos to enhance understanding and engagement.
• Share real-life examples or case studies that illustrate your points.
• Use relevant data and statistics to back up your points and add credibility.

Finally, remember to summarize key points and provide a memorable conclusion to leave a lasting impact.

Create your next presentation

snappify will help you to create stunning presentations and videos.

This video was created using snappify 🤩

Choose a good Font and Color for the Slides

Font and color choices in slides play a key role in shaping the impact and effectiveness of your presentation.

These choices go beyond aesthetics; they influence how your content is perceived, understood, and remembered.

Here are quick tips to make effective font and color choices:

• Readability: Use simple, easy-to-read fonts that can be seen from far away. Avoid fancy or complex fonts that can make reading difficult.
• Consistency: For a professional look, limit your presentation to two font styles: headings and body text.
• Contrast: Use contrasting fonts for headings and body text for better readability. Headings should be in bold or larger font, while body text should be in regular font.
• Hierarchy: Establish hierarchy with color by using bold or contrasting hues for headings and more subdued tones for body text.
• Limit Bright Colors: While bright colors can add visual interest, avoid using too many as they can be distracting and make your presentation look unprofessional.

Remember that your font and color choices should support your technical content and help convey your message effectively.

Test your chosen fonts and colors on different screens to ensure they appear as intended.

Consistency in font and color usage contributes to a polished and visually appealing presentation.

Also take a look at our handcrafted templates to get started with your technical presentations.

Engage with Stories

People remember stories better than facts alone.

Include relatable case studies to illustrate your points and make your presentation more relatable.

Storytelling is a powerful technique that can elevate your technical presentation from informative to captivating.

Humans have been using stories to communicate and connect for centuries, and integrating this approach into your presentation can help you create a deeper and more lasting impact on your audience.

Here's how you can effectively use storytelling to engage your audience during your technical presentation:

Quick Story Example:

Meet Maya, a talented developer on a mission to make her technical presentations truly captivating.

One day, she discovered snappify, a tool rumored to bring code snippets to life .

Maya decided to give it a shot.

With snappify, Maya's code snippets transformed into dynamic visuals that got animated smoothly across the screen.

During her presentation, she used it to break down complex algorithms step by step.

The audience was captivated, effortlessly following along as the code was visually displayed.

Impressed by Maya's presentation, fellow developers asked about snappify.

Maya shared how the tool had elevated her delivery, making code accessible to all.

Afterward, snappify was known for its captivating technical demonstrations.

Developers worldwide used it to transform complex code into interesting visuals, captivating audiences and enhancing code comprehension.

Now, turn your boring code into fancy and beautiful snippets before sharing it on social media or inside your technical presentation.

In conclusion, delivering a successful technical presentation requires technical skills, engaging visuals, and audience interaction.

A compelling story and utilizing effective visuals are crucial for delivering a memorable and impactful presentation.

Following the tips in this comprehensive guide, you can always deliver successful technical presentations for interviews, YouTube videos, tech talks, social media posts, and much more.

How can I adjust my technical presentation to different levels of expertise among the audience?

Adjust technical depth and terminology based on audience familiarity. Provide real-world examples for beginners and deeper insights for experts.

What is the difference between presentation and technical presentation?

Presentations can be either general or technical. General presentations inform or persuade, while technical presentations explain complex concepts to an audience with relevant expertise like engineering, coding, or more.

How do I overcome nervousness before a technical presentation?

Practice is key. Familiarity with your content and great rehearsal can help reduce anxiety during the presentation.

What is most important in technical presentation?

Effectively convey complex concepts with clear explanations, visuals, and relevance to the audience's needs and expertise - that's clarity.

What are the four essential components of a technical presentation?

A technical presentation has four parts: intro, content, conclusion, and Q&A. Introduce, present, summarize, and impress.

How do you engage your audience during a technical presentation?

To keep your audience engaged during a technical presentation, use relatable examples, break down complex information, and include interactive elements like polls or Q&A sessions. Personal stories can also make it more interesting.

Share Article

120 Presentation Topic Ideas Help You Hook Your Audience

Updated: January 15, 2024

Published: August 09, 2023

Cooking is easy. The puzzle is figuring out what to eat. As soon as you know that, you can get started. The same holds for presentations. The sooner you can whip up a good, informative, and catchy topic, the easier the rest of the process becomes.

Pick a good topic that resonates with you and your audience to set a strong foundation. But select the wrong topic, and it becomes difficult to connect with your audience, find mutual interests, or hold their attention.

So, let’s learn how to develop thought-provoking and relevant topics for your presentations. You’ll also find some best practices to make your presentation memorable.

10 Free PowerPoint Templates

Download ten free PowerPoint templates for a better presentation.

• Creative templates.
• Data-driven templates.
• Professional templates.

You're all set!

Click this link to access this resource at any time.

Table of Contents

How to Choose a Great Presentation Topic in 5 Steps

120 presentation topic ideas, 5 presentation tips.

4. Choose an appropriate presentation style.

There are many ways to present a topic. Your personality, the topic at hand, and your audience’s personas will help you determine which style would best fit you and your audience.

Select a presentation style that will communicate the main idea clearly and have a lasting impact on your audience.

For instance, explore a freeform style presenter by Sir Ken Robinson.

5. Engage with your audience.

Work on your presentation skills to make a strong connection with your audience, get through to them and leave a mark.

Think of the presenter as the link between the topic and the audience. A strong or a weak presenter can make a difference between a presentation being a thriving success or a boring failure.

Hone your skills by engaging and interacting with your audience. Make them feel like a part of the presentation and not just spectators. 70% of marketers have found presentations with interactive content to be more effective than those without.

Here are a few ways you can make your presentation interactive:

• Start your speech with uncommon questions to your audience. Involve them from the get-go, like ask to raise their hands if X.
• Make eye contact to build credibility and show confidence. Don’t stare at your slides or notes. Smile occasionally and talk to the audience directly.
• Have an active and confident body language. Don’t stand in the same place the entire time. Move around the stage.
• Don’t be monotonous. Speak as you would to a colleague — with enthusiasm.
• Ask close-ended questions in between to keep the audience engaged without losing time. Address them using their names to keep things interesting.
• Share personal experiences and stories that your audience will find fascinating and relatable.
• Practice thoroughly before you present so you’re fluent with the material and delivery.
• Energy and excitement can be quite contagious. Make sure you exude enough to spread some to your audience.

Feeling Inspired Yet?

Now you have all the right ingredients for choosing amazing topics and a hundred ideas to drive inspiration from. So, go ahead and start cooking presentations that will blow your audience away.

Don’t forget to choose a super-relevant topic and add meaty information. Do it with excitement to make it enjoyable for you and your audience. Best of luck!

Don't forget to share this post!

Related articles.

How to Write an Ecommerce Business Plan [Examples & Template]

How to Create an Infographic in Under an Hour — the 2024 Guide [+ Free Templates]

20 Great Examples of PowerPoint Presentation Design [+ Templates]

Get Buyers to Do What You Want: The Power of Temptation Bundling in Sales

How to Create an Engaging 5-Minute Presentation

How to Start a Presentation [+ Examples]

17 PowerPoint Presentation Tips to Make More Creative Slideshows [+ Templates]

How to Create the Best PowerPoint Presentations [Examples & Templates]

The Presenter's Guide to Nailing Your Next PowerPoint

How to Create a Stunning Presentation Cover Page [+ Examples]

Marketing software that helps you drive revenue, save time and resources, and measure and optimize your investments — all on one easy-to-use platform

Got any suggestions?

We want to hear from you! Send us a message and help improve Slidesgo

Top searches

Trending searches

49 templates

18 templates

32 templates

42 templates

40 templates

16 templates

Software Development Business Plan

Software development business plan presentation, free google slides theme, powerpoint template, and canva presentation template.

People in the IT sector will be glad to know that Slidesgo has created a new template especially for them! Describe in these slides your software development business plan and try to convince possible partners of the viability of your idea. The palette is composed of cool colors, which are usually a hit in the tech sector. The best thing is that the layouts are very simple, all of them! You'll be customizing this presentation in no time!

Features of this template

• 100% editable and easy to modify
• 37 different slides to impress your audience
• Contains easy-to-edit graphics such as graphs, maps, tables, timelines and mockups
• Includes 500+ icons and Flaticon’s extension for customizing your slides
• Designed to be used in Google Slides, Canva, and Microsoft PowerPoint
• 16:9 widescreen format suitable for all types of screens
• Includes information about fonts, colors, and credits of the free resources used

How can I use the template?

Am I free to use the templates?

How to attribute?

Combines with:

This template can be combined with this other one to create the perfect presentation:

Attribution required If you are a free user, you must attribute Slidesgo by keeping the slide where the credits appear. How to attribute?

Related posts on our blog.

How to Add, Duplicate, Move, Delete or Hide Slides in Google Slides

How to Change Layouts in PowerPoint

How to Change the Slide Size in Google Slides

Related presentations.

Premium template

Unlock this template and gain unlimited access

Register for free and start editing online

InfoQ Software Architects' Newsletter

A monthly overview of things you need to know as an architect or aspiring architects.

View an example

We protect your privacy.

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

• English edition
• Chinese edition
• Japanese edition
• French edition

Back to login

Login with:

Don't have an infoq account, helpful links.

• About InfoQ
• InfoQ Editors
• Write for InfoQ
• About C4Media

Choose your language

Discover transformative insights to level up your software development decisions. Register now with early bird tickets.

Get practical advice from senior developers to navigate your current dev challenges. Register now with early bird tickets.

Level up your software skills by uncovering the emerging trends you should focus on. Register now.

Your monthly guide to all the topics, technologies and techniques that every professional needs to know about. Subscribe for free.

InfoQ Homepage Presentations Generative AI: Shaping a New Future for Fraud Prevention

Generative AI: Shaping a New Future for Fraud Prevention

Neha Narkhede discusses a vision for fraud and risk management that leverages the advancements in generative AI.

Neha Narkhede is an Indian American technology entrepreneur, founder & CEO of Oscilar, the co-founder and former Chief Technology Officer, and currently board member of Confluent. She helped develop the open source messaging system Apache Kafka and she co-founded Confluent. Neha has been listed as one of America’s Top Self-Made Women by Forbes and Fast Company’s 100 Most Creative People.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Narkhede: I want to give you some context on why I picked this topic for today's keynote. As part of my Kafka and Confluent experience, I got a chance to witness a really wide variety of very interesting applications built using event streaming data. One of the most meaningful and the fastest growing one was in the fraud and risk space, in fraud detection. When I observed and helping Kafka users and Confluent customers build a modern fraud detection system, we noticed that they go through a number of hurdles. The first one is cobbling together distributed systems to get data together, ETL it together, then plugging all that into an analytic system, so you can slice and dice your data and really understand where the fraud trends are coming from. Then tie that together with an MLOps platform, so you can train the right machine learning models. You notice that, at the end of the day, cobbling together different distributed systems with MLOps platforms, companies still struggle to use machine learning effectively for detecting fraud. More than two years ago, I started Oscilar with my co-founder who built a bunch of data infrastructure systems that supported Facebook's risk systems, which are probably one of the world's leading systems out there. Therefore, based on that experience, and the work I'm currently doing, I want to share a vision on generative AI and how it is shaping the future for fraud prevention.

Why Is Fraud Increasing so Rapidly?

All of us have made purchases online, or have bank accounts online, and we've experienced some kinds of fraud. The reality is that apps and websites have a treasure trove of valuable financial, personal, health data. That convenience has come with a downside, it has given rise to a really vast digital landscape that is now susceptible to fraud. Today, we observe really complex forms of fraud, like synthetic identities, deep fakes, online payment fraud, and so on. The problem is that the financial implications of fraud are actually really large. Consumers and businesses, cumulatively lose hundreds of billions of dollars every year to fraud, if not trillions of dollars. The question is, why is fraud increasing so rapidly? According to TransUnion's Global Fraud Trends report, fraud is increasing, as you can see at these numbers, at an unprecedented scale. I think that there are two reasons for this. One is that fraud actually increases as economic activity evolves. As economies shift, and consumer buying behaviors change, fraudsters see card potential weaknesses in the systems. Between 2019 and 2021, during the pandemic, there was actually a 52% increase in the rate of digital fraud, which is highest in decades. If you break down where the trends are coming from, there's a particularly increased fraud rate in the travel and leisure industry, as travel resumed post the pandemic, and also, in the financial services industry, as online banking became the new norm. The second reason for why fraud is increasing so rapidly is because, all of our expectations of digital experiences have really accelerated. All of us consumers, we expect these digital experiences to be fast, secure, and really convenient. In fact, if these expectations are not met, consumers actually pretty frequently switch services. The statistics say that about two out of three consumers say that they would switch companies for a much better digital experience. Those were some of the reasons why fraud is increasing so rapidly.

Top Fraud Trends in the Industry

Now let's take a look at some of the top fraud trends in the industry to know why the technology that we're now developing is the right path forward. The first is that automation is making fraud really scalable. Fraudsters are using various kinds of software, bots. In fact, there are tools that are shared across different Discord channels that use generative AI to perpetrate fraud. The reality is that because of all this automation, the losses are much higher than would have been possible manually, which was what was happening till date in terms of how fraud was perpetrated. An example of this is credential stuffing. This is an act of testing stolen or leaked credentials from the dark web, to see if they actually work on the selected set of accounts. This whole activity today is actually much more scalable with bots than with human intervention, which is how it was done before. The second trend is that fraud costs are escalating. According to the Federal Trade Commission, consumers lose more than $8.8 billion annually, and this is just in the United States. According to extensive research done, it is noted that global fraud losses amount to north of $5 trillion. These numbers are eye popping, they're disappointing, and need immediate addressing. The third trend, which is also concerning, is synthetic identity fraud is one of the fastest growing forms of fraud. In fact, it comprises of more than 85% of all identity fraud, which itself runs losses in the tens of billion dollars every year. The problem with synthetic identities is, it's first of all powered by generative AI, making it much harder to detect using traditional techniques, mostly because traditional techniques lack sufficient training data, especially when it comes to synthetic identity fraud.

The next trend is that companies need to balance consumer friction with fraud losses. All of us expect really seamless digital experiences, so companies can't always deploy the strictest verification procedures, which is what makes fraud prevention really difficult. In fact, they need to balance the opportunity cost of lost customers with the fraud losses. Fraud losses are typically considered as cost of doing business, and a fine balance needs to be struck between fraud prevention losses and the customer friction. The last trend is that there's a huge proliferation of point solutions. Point solutions are, maybe one tool gives you device fingerprinting data, and hence device risk. Or another tool does IP profiling and hence gives you IP risk. The problem is that now there are a lot of these points solutions. Each solution focuses on some part of the customer journey, and gives you the risk of the user only at that point in the customer journey. As you can imagine, that doesn't tell the whole story. It doesn't give you a 360-degree view of the user's risk. For example, if you were a user that were trying to make a purchase online, if you browse the catalog, that would actually lead to a different risk signal than if you went straight to the purchase and purchased a whole number of high value items, possibly from a different account. The other problem is that each point solution wants to have or claims to have the best and the most complete data out there. In my experience, I found that no one tool has the best data. The conclusion is that data needs to be integrated from all of these point solutions into what I would call a risk operating system where all that data can come together in real-time. You can orchestrate decisioning workflows to figure out what to do with a particular transaction in real-time. Those were some of the fraud trends in the industry.

Evolution of Fraud Detection: The 3 Generations of Fraud and Risk Technology

Now let's take a look at how fraud technology has evolved over the years to know where it is going next. I see them in three generations. Each one of them have learned from the strengths of the previous generation, as well as the weaknesses. The first systems which I call risk 1.0 systems are the static rule-based platforms. What does rules mean? It means if this, then do that, kind of logic. That is commonly used to detect previously seen trends. Once you see a new feature and a new trend, you go in some code base and change the code to add these conditions, and then go live after testing it. The upside, as you can imagine, is it's very convenient, and it's pretty easy to observe some feature and go and add a rule. The downside is that it just doesn't scale beyond a few dimensions. In fact, it very quickly gets out of hand beyond maybe 80 to 100 rules. An example of rules is, let's say we're trying to detect these kinds of fast and expensive transactions, so rules that might flag credit card transactions that maybe exceed a certain amount which is atypical of your past behavior of purchases, within a very brief timeframe. In this example, it's easy to add a rule which checks for the transaction amount in a brief timeframe, which are basically just two features. Then, studying the entire customer behavior leading up to the transaction, which requires a lot of data and a lot of tracking of features beyond just these two: customer transaction value and brief timeframe.

To counter the downside of lack of scalability of risk 1.0 systems, there is 2.0 systems evolved to incorporate traditional machine learning along with rules. This technique as well is used to detect previously known kinds of fraud. Traditional machine learnings obviously helps with dealing with high dimensional data. It comes with a downside as well, is it requires a lot of training data to accurately predict risk, which at times can take months. A good example of that is chargeback fraud. Typically, companies need to wait for about 60 to 90 days to get the labels for chargeback fraud. One example of trying to detect chargeback fraud then is, let's say you have a lot of diverse transactions coming from typically stolen cards from a common device farm, but originating from multiple IP addresses, multiple ZIP codes. The list of features actually is pretty long. This is where traditional machine learning models can typically excel.

I think the latest generation of risk systems, risk 3.0 systems will use generative AI in combination with traditional machine learning to detect complex and emerging forms of fraud, which most importantly have not been seen before, and do that while dramatically reducing the false positive rate. Which is actually a big problem in the fraud detection industry, because of striking a balance between customer friction and fraud losses. A good example of the complexity that this approach is able to handle is first party fraud. This is where an individual might use their actually own identity to fraudulently obtain goods or services without any intention to pay for them. This is really challenging because, A, the behavior varies per account holder, B, it is really hard to capture the feature of intent to pay. Conventional anomaly detection methods actually miss certain subtle behavioral changes, like let's say duress during the purchasing process. That is what leads to a high number of false positives. Here is where generative AI excels, is it analyzes a ton of unstructured and structured data from the past and present to understand intricate user behaviors. Most importantly, put the user behavior in context.

That is why it's able to identify anomalies without actually requiring explicit labels. The other thing about generative AI is it adapts quickly and it learns from the latest signals. I'll explain why it's able to do these things. Of greater significance is the fact that risk 3.0 systems allow risk operators to formulate 1.0, 2.0, or even third generation techniques without really requiring a lot of in-depth knowledge. It comes with that in-depth knowledge and the world knowledge. It comes with a lot of intelligence and proactive recommendations, so risk operators' jobs are actually much more simplified.

Drawbacks of Existing Fraud Detection Methods

Let's now take a look at drawbacks of existing fraud detection methods to understand the advantages of generative AI and how it is going to change fraud prevention. The first drawback is limited scalability. Risk 1.0 and 2.0 systems, they often struggle to keep up with the increasing complexity of transactions. Today they are now powered by generative AI so they've become really complex and subtle. These generations require constant manual updates to adapt to these new fraud techniques, which effectively make them less efficient. You need to change code, to change rules, you need to retrain traditional machine learning models to help them to detect new kinds of fraud, which is happening very quickly and changing forms very quickly. Even machine learning models may struggle to scale efficiently as transaction complexity further grows beyond hundreds of features. The second drawback is simply, feature engineering overhead. The reality is that risk 2.0 methods require manual feature engineering, like most traditional machine learning methods, which itself is a time-consuming process, requires data ETL cleaning, and it may still not capture all the relevant information that is required for accurate fraud detection. The third limitation is data imbalance. This we know about machine learning. The thing about fraud is that fraudulent transactions are actually typically rare compared to legitimate ones, despite the huge amount of fraud dollars that are lost every year. This creates imbalance in labeled training data, which can skew a traditional machine learning model's ability to accurately detect fraud. This is not only a problem for fraud, it is a problem for a whole host of other problems, but it typically has a very large impact in fraud detection.

The fourth limitation is lack of context. This is a big one, is previous generation methods may not incorporate a wide range of variables, and simply does not understand the context. It understands features. It understands what's happening, but cannot put it in context. This is what limits its effectiveness in detecting more complex or subtle fraud schemes like first party fraud. The next limitation is need for human oversight. This is where a lot of cost in risk operations and fraud operations comes in, is despite the automation in an MLOps platform that you might build, or despite the testing processes that you might build for rules. Previous generation methods often require a lot of human intervention to do a whole host of things, like model tuning, or model updates, or simply to verify flagged transactions. Typically, in fraud detection, if you can't quite determine the risk of a particular transaction, and if it's a high value transaction, you flag it for manual review so a team of human reviewers actually takes a look at all the data before they would release, approve, or deny that transaction. These manual updates, and this manual verification is very resource intensive, and that's a big problem for a lot of companies. The last limitation is lack of adaptability. Static rule-based systems as well as risk 2.0 systems, they suffer from a lack of adaptability, and that is what makes them less agile, is you need to detect the new fraud pattern by manually observing trends, and need to go and do feature engineering and then come back and deploy the trained models. This requires frequent manual updates or retraining of models to address fast-evolving fraud challenges. Those were some of the drawbacks of existing fraud detection methods.

The Generative AI Advantages

Now let's tee up to generative AI. Generative AI is a significant leap forward that we made mostly in the last year, and that is opening up incredible opportunities for everything, including fraud and risk management. In fact, it will completely change how we do fraud and risk management in the modern world. Let's take a look at some of the advantages of generative AI to know how we can put it in practice for fraud detection. The first big advantage is adaptive learning. Unlike traditional methods that are static, generative AI models continuously learn from the data that is coming in, and the labels that are coming in, that allows them to adapt to new patterns, so it's pretty flexible and adaptive. These models, they also integrate human feedback loops more easily. Traditional machine learning methods also can be made to integrate human feedback loops, but that process is more manual and requires much more label training data. In this case, operators are able to confirm or refute fraud predictions through that manual review process that I'd mentioned. This ends up enhancing model accuracy much faster than traditional methods. Most importantly, beyond recognizing known fraud types, generative AI can actually predict new fraud techniques, and that is what helps them be an early warning system. Adaptive learning offers a very fast-evolving and real-time solution for modern fraud detection.

The second advantage is data augmentation, which will be pretty approachable to understand. Generative AI can generate synthetic data that mimics real transactions. This is what allows us to enhance and enrich training datasets, which effectively then improves model performance, like we know. This synthetic data also eliminates the need for another problem that a lot of companies get flagged for, which is compliance. Avoiding the need to use sensitive real data is a big deal and helps in staying compliant. Generative AI also tackles the problem that we talked about, about imbalanced datasets, because it generates or is able to generate examples of those rare fraudulent transactions. This technology can also automatically identify and actually create features that are relevant for fraud detection. It has world knowledge, which I will talk about, which allows it to just know what are the critical features for a certain kind of fraud that is happening. Using that, and the documentation techniques, it's able to train new models that effectively are more accurate than the previous methods. Data augmentation offers a very robust and privacy compliant way to train fraud detection models.

The next advantage is anomaly detection. Generative AI, it trains on really diverse datasets, and has this world knowledge that understanding truly constitutes, it knows what constitutes an anomaly versus a legitimate but slightly unusual transaction. It also considers a really large variety of variables like transaction amounts, or most importantly, historical and current customer behavior, and the context in which it is happening, which is what makes it really robust against sophisticated fraud schemes. The model also dynamically can adjust thresholds as it learns from the new data and new labels that are coming in, which allows it to predict future anomalies even more effectively. Generative AI offers a very proactive and a very real-time approach to anomaly detection, which is a problem that has a high number of false positives with traditional methods. Which leads me to the last advantage worth mentioning, which is reducing false positives, like I mentioned, is a huge problem in fraud detection. It uses sophisticated algorithms. We don't have a very deep understanding of exactly how they work, as we know, to accurately distinguish between legitimate anomalies and actual fraud. All the advantages of data augmentation and its ability to do anomaly detection more accurately, ends up helping in reducing false positives. It has a layer of contextual intelligence, which it gets from its world knowledge that ultimately minimizes false alerts. Those were some of the advantages of generative AI.

AI Risk Decisioning

Let me now turn to an approach which I'm calling AI risk decisioning, which is powered by generative AI. It uses that in combination with traditional machine learning, and forms I think a very new foundation for protecting online transactions. I'd like to talk about what I mean by AI risk decisioning, how and why it's powered by generative AI, and the various pillars of how it's going to change fraud detection. I'd like to start by mentioning that this approach is not just an incremental improvement or feature improvement. It's a foundational shift in how we think about and how we approach fraud detection. In summary, I would like to mention that AI risk decisioning, it's uniquely equipped to combat fraud because it combines the power of generative AI, the power of traditional machine learning methods, and has a layer of understanding which we never had before, or across virtually unlimited data sources. These are the six pillars of this approach that might give you a much better understanding of the design of AI risk decisioning systems, and the pillars that it needs to consider to create a well-formed AI risk decisioning platform.

1. Knowledge: A 360-Degree Knowledge Fabric

The first pillar is knowledge, which I've been referring to as fraud world knowledge, which is a 360-degree view, and a knowledge fabric that can be used to power all the other techniques and pillars of the platform. It does that by integrating a large variety of internal data sources that are unique to the company, like transaction records, customer profiles in real-time, and marry that with the world knowledge that it has from consortium databases, open source intelligence databases, even academic research and publications. It takes all that data and not only integrates it to create a holistic view of all the data, which we're able to do with real-time stream processing methods. It adds a layer of intelligence and understanding, and most importantly, reasoning on top of this, to effectively form a cognitive core for risk management that we never had before. Let me take an example to try to explain this concept and the impact of this knowledge fabric, let's say, the synthetic payment fraud that is happening. Synthetic payment fraud is basically a type of fraud where scammers use AI to create fake identities and fake amounts or fake accounts. Then they change transaction data a little bit to commit complex fraud, like money laundering. They make fake payment accounts to hide these fraudulent, or illicit funds, and just make them look like real transactions.

Up until now, we've been using traditional methods to try to differentiate between money laundering or unusual transactions that are legitimate. The problem is that it has trouble differentiating between the two, mostly because it's unfamiliar with this pattern. Remember that synthetic payment fraud is a pretty complex kind of fraud that itself is powered by generative AI, and changes shape and form very quickly. Traditional machine learning methods struggle because, as we know, they use past data, and simply don't have enough training data quickly enough to be able to detect this fraud. This is where generative AI comes in. It changes the approach. It has been analyzing a lot of unstructured data in the background, and has been learning to find new patterns. It forms this adaptive knowledge fabric that simply knows the critical features to flag payment fraud. Features like account dormancy before activity, or how new the account is, or if the account information was changed, and a whole host of other variables. The important thing is it knows these features in advance, because it's learned from a lot of data and a lot of trends in the past. It becomes particularly good at learning the characteristics of good behavior from fraudulent behavior as it is happening in real-time. Coming to the AI risk decisioning approach then, it combines traditional machine learning techniques, which I'll explain as well, with generative AI, along with this fraud knowledge fabric, and continuously updates its models by learning from the real-time data of transactions and labels that are coming in. Effectively, the coolest thing is that this cognitive core is the real power. It actually powers all the other pillars, and all the other ways in which you can use generative AI for modern fraud detection.

2. Creation: A Natural Language Interface

The second pillar of the AI risk decisioning approach is creating fraud rules or models through a natural language interface. This is approachable to us, as we've all been using ChatGPT, is the natural language interface is basically the ability to create customized workflows, I'll show you an example, models, everything through a natural language interface. No coding expertise is required, which is a big change from how things are done today. The most powerful thing is no real understanding of the underlying shape of data is required, or even no real deep analytical skills are required. An example of this is, let's say you wanted to create a model to detect account takeovers. You might specify features, or it might already know the features if you choose to use that for account takeover, like track suspicious login behavior, or track deviations from the user's previous login behavior. The natural language copilot then translates those requirements into a model automatically. It can then create, test that model to give you the model performance, like I'll show in an example. Then it's able to allow you to make that final decision. You might ask it to create this account takeover model. It first of all knows what account takeovers mean, and what is important in detecting account takeovers. It's able to create a machine learning model as well as this decisioning workflow to detect it. You can ask it to add device intelligence. It knows where to get that device intelligence from, and it knows which point in the model you should be able to add it. Then you can ask it to backtest it, which is basically scenario analysis on how it would have performed if it ran in the past. You can ask it to, say, run this model on the past three months of data, and it gives you the results of that scenario analysis. That is effectively what allows those teams to make a final decision. We're not removing the human from the loop, we're actually making the human much more equipped with risk insights. The natural language interface, the real power is it not only makes fraud programs more scalable, but it democratizes risk management. It allows a much broader team with a much broader skill set to tackle fraud.

3. Recommendation: Auto-recommendations

The third pillar of the AI risk decisioning approach is making automatic recommendations. A really powerful capability of this approach is, this is all about making real-time and automatic recommendations for effective risk management. These are examples of the recommendations that it might make, is it might auto-monitor transactions and detect certain trends in the transactions that are happening or certain anomalies. It might actually suggest relevant features for risk models, like it can do in the example of account takeover fraud. It can conduct scenario analysis on its own so you're equipped with the results you need to actually deploy a model with confidence. Most importantly, it can recommend the next best action to optimize performance, which is something that risk teams really struggle with, and require a ton of experience to be able to do this, and a lot of back and forth and testing.

Here's an example of recommendations and its power. Let's say we come to synthetic identity fraud, where fraudsters assemble parts of real identities and create a fake identity, which we call as a synthetic identity to commit fraud. The AI risk decisioning approach, it quickly assimilates the unique characteristics, it learns the unique characteristics of this fraud, as it happens, and can train a specialized machine learning model. This model will have key features to detect synthetic identity fraud, such as detecting anomalies in application data, or tracking the rate of those credit applications in this case, or flagging transactions with high-risk entities and so on. Then it deploys this advanced model, and makes recommendations on other features you should add to your decisioning workflow to detect these complex and subtle discrepancies. Here's an example. Let's say you had a simplistic synthetic identity model. It, first of all, detects a trend proactively. It explains the features that are involved in synthetic identity fraud. It might go ahead and actually make a recommendation of adding a model as well as adding two more features that are relevant for synthetic identity fraud. Then what you're doing is you're mostly testing those recommendations, or you might ask it to remove a certain feature and then give you that A/B test or backtest scenario analysis results. Automatic recommendations, it really streamlines this risk model iteration. Remember that risk decisioning and fraud detection is a game of balance, and a lot of iteration, because very few features, and very few things about the fraud trends are actually obvious to the eye. This is what reduces the fraud mitigation time from weeks, which is where it's today, down to hours, and even in some cases, minutes.

4. Understanding: Human-Understandable Reasoning

The fourth pillar of the AI risk decisioning approach is about understanding, which is what I'm calling human-understandable reasoning. This isn't as complex as it might sound. It is basically how we can make it understand and explain every decision, or any recommendation or insight that is provided by the AI. The problem is that risk experts do have the ability to understand the different factors that influence risk assessments, because it is able to reason about things, it's able to give you a rundown of factors of what might be happening. With that knowledge and their past experience, then they are able to spot new patterns or build necessary defenses or even explain what's going on to a broader team so you can collaborate more effectively. While this might be underrated, this is what fosters confidence and trust, which is effectively what brings down the model iteration time, because you simply know what to expect, because you have the scenario analysis results, and you have a deep understanding of why something might be happening. By shedding light on the why, it really elevates risk management from a cat and mouse game where you're just chasing various fraud trends or risk trends, to much more of a proactive and a strategic function, because of all these recommendations and proactive anomaly detection that it is able to do.

I want to take an example of reasoning as well. Let's say that there's a 12% increase in the chargeback rate. Let's also say that there's a jump in the false positive rate. Let's say that this was linked to the launch of a new credit card, a new virtual card, an AI risk decisioning platform will quickly conduct an exhaustive root cause analysis. This is because it is able to reason about things. It then quickly gives you a rundown of risk factors that generally might be applicable in this scenario, like let's say, study alterations in customer behavior, or study distinctive transaction patterns, which then allows experienced risk operators to understand the key factors that might be involved. Maybe the customer buying behavior has truly changed, or maybe there is, in fact, a new technique that is taking advantage of this new credit card application process. It is able to generate that explanation, and, of course, it is able to marry that explanation with proactive recommendations. An example is, let's say you're watching your dashboard for a particular fraud trend, you're able to ask it to explain what might be happening in just plain natural English. It's going to be able to do that and tell you that there's an increase in the chargeback rate, looks like the model experienced a drift. It recommends that you train a new model, which then you can proceed to ask it like, which features should I train the model on, or what should be the different thresholds? Then you can ask it to give you the model performance metrics, which, with the Python agent, it is actually able to do pretty easily.

5. Guidance: Augmenting Risk Experts

Now let's look at the fifth pillar, which is about guidance, which is about augmenting risk experts. We're not removing the human from the loop, we're simply making them a lot more efficient. The problem is that even the most experienced risk experts, they're overwhelmed. They're overwhelmed because there are increasingly complex fraud patterns that are happening today. There is just enormous amounts of data that is involved in digital transactions. Imagine all the kinds of transaction data that you have to deal with, in addition to the data that comes in when you first create an account, or first you log in, and studying that with your browsing behavior, and then studying that and marrying that with the transaction data at the final transaction point, which is where the decision will happen. You can only imagine the amount of real-time training data they have to deal with. Here is where AI risk decisioning serves as an invaluable copilot. It does a couple of things. It first of all gives you that real-time intelligence of what might be happening, that root cause analysis. It has specialized knowledge so it can marry that with the knowledge it has about that particular fraud trend, and suggest relevant features or some model that it needs to train. It gives you an understanding of the contextual data. Like we saw in explaining that particular fraud trend, it's able to explain and give you a rundown of factors of what might be happening. These three things put together, allow you to make much better and informed decisions.

I'd like to take an example here as well, is, let's say you're triaging suspicious ACH transactions. Today, what we have to do is we manually collect the data, maybe from some data warehouse, which is possible, but it's a little more error-prone. You marry that with existing trends that you know from the cases that you've been handling. All the human reviews that have happened, you marry that, with that data that you have from the human reviews, and literally, eyeball associated entities that might be performing a similar transaction, which effectively means you're detecting collusion. An AI risk decisioning platform actually keeps on analyzing transactions in the background, and it quickly identifies a complex series of irregularities, in this case, in the ACH transaction case, which is actually one of the more easier examples, is, let's say there's a lack of connection between the beneficiary and the customer. Or let's say there are high transaction values happening from unknown IP addresses or unknown devices, it is able to do that root cause analysis. Based on that root cause analysis, it is going to proceed to recommend that you block the transaction. Not only that, it's going to proceed to proactively identify and do that graph analysis on the related entities, so you're able to detect that collusion as well. You might be able to, first of all, instead of eyeballing the manual review case, you can ask it to explain why that case was formed in the first place. Because you have knowledge of your own business and knowledge of the fraud trend, with that understanding, you're able to make a decision. It then proactively does this graph analysis, which today involves a lot of manual review, and then give you a list of entities that you might want to make a decision on there and there itself, so you're making fraud detection a lot more scalable, because it's able to do this kind of graph analysis and quick explanation to augment risk experts on what they do train. The AI risk decisioning approach, as you can imagine, it's empowering risk experts to be more strategic, and much more proactive based on these kinds of reliable insights, that it's able to give you, an explanation that is able to give you.

6. Automation: Risk Automation

The last pillar is about automation. This is probably the easiest pillar to understand, is the problem with a risk expert is they spend a lot of time and effort on repetitive tasks, which are important. You do need to look at fraud trends, and you really need to look at visual performance summaries. Generative AI, as we know, can automate a lot of tasks regarding reporting with the Python agents and stuff like that. It can consolidate a lot of this information, because it's been analyzing it in the background. It's good at generating reports. An example is, let's say you have to compile monthly reports on summaries and visual performance reviews. Traditionally, it involves collecting data from a data warehouse or spreadsheet, and then manually crunching the numbers, and either using a BI tool or Excel to plot different reports. You can imagine how time consuming and frankly boring that task is. AI risk decisioning completely automates that approach. You can ask it to generate a trends report based on the performance trends. First of all, it gives you a rundown of the performance trends in the last quarter, which is what you asked for, before creating the report, and then goes ahead and creates the report. If you find the report useful, you can ask it to create it at a regular cadence. Easy to understand, but an important thing that it does to elevate risk management. Those were six pillars.

Finally, I'd like to conclude by saying that generative AI is not a silver bullet. A misconception in the industry is that it's going to replace machine learning methods for fraud detection. That's simply not true. I think generative AI and traditional machine learning, they actually offer complementary strengths for fraud and risk management in particular. Traditional machine learning excels in pattern recognition based on historical data. It is great at flagging known kinds of fraud that have been previously encountered, so you don't want to forget what has happened in the past. It does struggle with fast-evolving forms of risk. It just doesn't have inherent knowledge. Note that machine learning models are trained from scratch, so they don't remember anything and simply don't have the ability to reason about things, it can simply only predict things. With generative AI, it shines when there's limited, labeled data or this fast-evolving forms of risk. It is uniquely equipped to generate new data or new labels, from minimal examples. It analyzes vast amounts of data, structured, unstructured, and creates this knowledge fabric. This knowledge fabric is adaptive. That is what allows it to keep recognizing new patterns and anomalies, and learn from it. An AI risk decisioning platform must integrate insights from traditional models as well as generative AI to form a more comprehensive understanding. This approach is what allows it to be much more effective than a traditional approach, rather than using either technology in isolation.

It's useful, and this approach has a 10x impact on fraud and risk operations. It improves the accuracy of models, reduces false positives. It dramatically makes humans much more efficient. It speeds up risk operations from weeks and months, to what it takes today, to hours. That is what I've been working on at Oscilar is building the first AI risk decisioning platform. Hopefully, based on that experience, you took away some insights about generative AI and how it changes fraud prevention.

See more presentations with transcripts

Recorded at:

Apr 17, 2024

Neha Narkhede

Related Sponsored Content

This content is in the ai, ml & data engineering topic, related topics:.

• AI, ML & Data Engineering
• QCon San Francisco 2023
• Transcripts
• Artificial Intelligence
• QCon Software Development Conference
• Fraud Detection

Related Editorial

Popular across infoq, qcon london: meta used monolithic architecture to ship threads in only five months, architecture does not emerge - a conversation with tracy bannon, architecting for high availability in the cloud with cellular architecture, architectures you’ve always wondered about 2024 emag, effective performance engineering at twitter-scale, java news roundup: jobrunr 7.0, introducing the commonhaus foundation, payara platform, devnexus.

Powerpoint Templates

Icon Bundle

Kpi Dashboard

Professional

Business Plans

Swot Analysis

Gantt Chart

Business Proposal

Marketing Plan

Project Management

Business Case

Business Model

Cyber Security

Business PPT

Digital Marketing

Digital Transformation

Human Resources

Product Management

Artificial Intelligence

Company Profile

Acknowledgement PPT

PPT Presentation

Reports Brochures

One Page Pitch

Interview PPT

All Categories

Software Development Life Cycle IT Powerpoint Presentation Slides

In this Software Development Life Cycle PowerPoint presentation, we have covered an overview of the service provider company by including core values and strengths. This PowerPoint presentation is of significant assistance in learning about the SDLC Models service provider company, introduction to the Software Development Life Cycle, its need, working, and different models. In addition, Software Development Process PPT shows applications of SDLC models in other sectors, the need for software development lifecycle, its working by covering its various phases such as requirement gathering, design, development, deployment, and maintenance. Moreover, this Software Development Life Cycle presentation represents the different SDLC models, including Waterfall, Rapid Application Development RAD, Spiral, V-model, Incremental, Agile, Iterative, and Big Bang model, by covering their design, phases, applications, and advantages and disadvantages. Further, the Software Development Process template caters to the role of security in SDLC models by including its overview, importance, benefits, and working. Lastly, the SDLC deck comprises a pricing list for all services for SDLC models, a 30-60-90 days plan, a roadmap, a performance tracking dashboard, and the post-implementation impact of SDLC Models. Download it now.

These PPT Slides are compatible with Google Slides

Compatible With Google Slides

• Google Slides is a new FREE Presentation software from Google.
• All our content is 100% compatible with Google Slides.
• Just download our designs, and upload them to Google Slides and they will work automatically.
• Amaze your audience with SlideTeam and Google Slides.

Want Changes to This PPT Slide? Check out our Presentation Design Services

Get Presentation Slides in WideScreen

Get This In WideScreen

• WideScreen Aspect ratio is becoming a very popular format. When you download this product, the downloaded ZIP will contain this product in both standard and widescreen format.

• Some older products that we have may only be in standard format, but they can easily be converted to widescreen.
• To do this, please open the SlideTeam product in Powerpoint, and go to
• Design ( On the top bar) -> Page Setup -> and select "On-screen Show (16:9)” in the drop down for "Slides Sized for".
• The slide or theme will change to widescreen, and all graphics will adjust automatically. You can similarly convert our content to any other desired screen aspect ratio.
• Add a user to your subscription for free

You must be logged in to download this presentation.

Do you want to remove this product from your favourites?

PowerPoint presentation slides

Enthrall your audience with this Software Development Life Cycle IT Powerpoint Presentation Slides. Increase your presentation threshold by deploying this well crafted template. It acts as a great communication tool due to its well researched content. It also contains stylized icons, graphics, visuals etc, which make it an immediate attention grabber. Comprising ninty five slides, this complete deck is all you need to get noticed. All the slides and their content can be altered to suit your unique business setting. Not only that, other components and graphics can also be modified to add personal touches to this prefabricated set.

People who downloaded this PowerPoint presentation also viewed the following :

• IT , Complete Decks , All Decks , IT , Software Testing
• Software development ,
• Software Development Life Cycle ,
• Software Development Life Cycle Phases ,
• Software Development Life Cycle Models ,
• Agile Process Model ,
• Waterfall Model ,
• Rapid Application Development RAD ,
• Spiral Model ,
• Iterative Model ,
• Incremental Model ,
• Big Bang Model

Content of this Powerpoint Presentation

Slide 1 : This slide introduces Software Development Life Cycle IT. State Your Company Name and begin. Slide 2 : This is an Agenda slide. State your agendas here. Slide 3 : This slide presents Table of Content for the presentation. Slide 4 : This is another slide continuing Table of Content for the presentation. Slide 5 : This is another slide continuing Table of Content for the presentation. Slide 6 : This slide highlights title for topics that are to be covered next in the template. Slide 7 : This slide shows Overview of the Software Development Life Cycle Company. Slide 8 : This slide represents the core values of the SDLC company. Slide 9 : This slide displays Strengths of Software Development Life Cycle Company. Slide 10 : This slide highlights title for topics that are to be covered next in the template. Slide 11 : This slide showcases Application of Software Development Life Cycle Models in Different Sectors. Slide 12 : This slide shows Software Development Life Cycle Models Applied by Industries. Slide 13 : This slide presents Time Usage of Software Development Life Cycle Models in Software Development. Slide 14 : This slide highlights title for topics that are to be covered next in the template. Slide 15 : This slide displays Overview of Software Development Life Cycle. Slide 16 : This slide describes the need for software development life cycle. Slide 17 : This slide depicts the importance of the software development life cycle to an organization. Slide 18 : This slide highlights title for topics that are to be covered next in the template. Slide 19 : This slide represents Phases of Software Development Life Cycle. Slide 20 : This slide showcases requirement gathering and analysis phase of the software development life cycle. Slide 21 : This slide depicts the designing of the product architecture phase of SDLC. Slide 22 : This slide describes the building or development of the product phase of SDLC. Slide 23 : This slide illustrates the testing phase of the software development life cycle. Slide 24 : This slide represents the deployment phase of the software development life cycle. Slide 25 : This slide depicts the maintenance phase of the software development life cycle. Slide 26 : This slide highlights title for topics that are to be covered next in the template. Slide 27 : This slide showcases Important Models of Software Development Life Cycle Life Cycle. Slide 28 : This slide shows Software Development Life Cycle Waterfall Model Design. Slide 29 : This slide presents waterfall model phases, including requirement gathering & analysis, system design, implementation, etc. Slide 30 : This slide represents the application of the waterfall model, including the conditions that should be fulfilled to use the waterfall model. Slide 31 : This slide describes the advantages of the waterfall model, including simplicity, straightness, stability, clearly defined stages, etc. Slide 32 : This slide depicts the disadvantages of the waterfall model, including risk & uncertainty, inadequate for long-term, etc. Slide 33 : This slide highlights title for topics that are to be covered next in the template. Slide 34 : This slide showcases Software Development Life Cycle Rapid Application Development (RAD) Model. Slide 35 : This slide shows Rapid Application Development Model Design. Slide 36 : This slide presents Rapid Application Development Life-cycle. Slide 37 : This slide represents the scenarios where rapid application development models can be used. Slide 38 : This slide showcases Pros of Rapid Application Development Model. Slide 39 : This slide shows Cons of Rapid Application Development Model. Slide 40 : This slide highlights title for topics that are to be covered next in the template. Slide 41 : This slide represents the spiral model of the software development life cycle. Slide 42 : This slide depicts the phases of the spiral model, such as requirement analysis, design, coding, testing & risk analysis, etc. Slide 43 : This slide represents the situations when the spiral model can be implemented. Slide 44 : This slide depicts the advantages of the spiral model, including flexibility, extended prototyping, precise requirements, etc. Slide 45 : This slide represents disadvantages of the spiral model, including management and procedure complications, hard to know the end date, etc. Slide 46 : This slide highlights title for topics that are to be covered next in the template. Slide 47 : This slide showcases Software Development Life Cycle V-Model Design. Slide 48 : This slide illustrates the verification phases of the V-model, including business requirement analysis, system design, etc. Slide 49 : This slide shows the validation phases of the V-model, including unit testing, integration testing, system testing, etc. Slide 50 : This slide represents the conditions when we can implement V-model, including consistent product definition, clear and precise prerequisites, etc. Slide 51 : This slide describes the advantages of the V-model, including the disciplined methodology, effectiveness for smaller projects, etc. Slide 52 : This slide represents the disadvantages of the V-model, including uncertainty and risk. Slide 53 : This slide highlights title for topics that are to be covered next in the template. Slide 54 : This slide showcases Software Development Life Cycle Incremental Model. Slide 55 : This slide shows the phases of the incremental model, such as requirement analysis, design and development, etc. Slide 56 : This slide represents the scenarios when the incremental model can be deployed. Slide 57 : This slide showcases Advantage and Disadvantages of Incremental Model. Slide 58 : This slide highlights title for topics that are to be covered next in the template. Slide 59 : This slide shows Software Development Life Cycle Agile Process Model. Slide 60 : This slide represents the phases of the agile process model, including requirement gathering, design, etc. Slide 61 : This slide shows the various testing methods of agile, such as scrum, extreme programming, crystal, etc. Slide 62 : This slide describes the cases when the agile process model can be implemented. Slide 63 : This slide represents the pros of the agile process model, including realistic software, fewer resources required, etc. Slide 64 : This slide describes the cons of the agile process model. Slide 65 : This slide highlights title for topics that are to be covered next in the template. Slide 66 : This slide represents the iterative model design of the software development life cycle. Slide 67 : This slide represents the phases of the iterative model, such as requirement gathering and analysis, design, implementation, etc. Slide 68 : This slide displays cases where we can deploy an iterative model. Slide 69 : This slide represents Advantages of Iterative Model. Slide 70 : This slide depicts the disadvantages of the iterative model. Slide 71 : This slide highlights title for topics that are to be covered next in the template. Slide 72 : This slide shows Software Development Life Cycle Big Bang Model. Slide 73 : This slide represents the scenarios when the big bang model can be implemented. Slide 74 : This slide depicts the pros and cons of the big bang model. Slide 75 : This slide highlights title for topics that are to be covered next in the template. Slide 76 : This slide depicts the overview and importance of a secure software development life cycle. Slide 77 : This slide showcases Advantages and Working of Secure SDLC. Slide 78 : This slide highlights title for topics that are to be covered next in the template. Slide 79 : This slide shows Pricing for Software Development Life Cycle Models. Slide 80 : This slide presents 30-60-90 Days Plan for Software Development Life Cycle. Slide 81 : This slide displays Roadmap for Software Development Life Cycle Models. Slide 82 : This slide represents Performance Tracking Dashboard for Software Development Life Cycle. Slide 83 : This slide highlights title for topics that are to be covered next in the template. Slide 84 : This slide showcases Post Implementation Impact of Software Development Life Cycle Models. Slide 85 : This slide displays Icons for Software Development Life Cycle (IT). Slide 86 : This slide is titled as Additional Slides for moving forward. Slide 87 : This is About Us slide to show company specifications etc. Slide 88 : This is a Financial slide. Show your finance related stuff here. Slide 89 : This is Our Mission slide with related imagery and text. Slide 90 : This is a Timeline slide. Show data related to time intervals here. Slide 91 : This slide presents Weekly Timeline with Task Name. Slide 92 : This slide depicts Venn diagram with text boxes. Slide 93 : This slide shows Post It Notes. Post your important notes here. Slide 94 : This slide showcases Magnifying Glass to highlight information, specifications etc Slide 95 : This is a Thank You slide with address, contact numbers and email address.

Software Development Life Cycle IT Powerpoint Presentation Slides with all 100 slides:

Use our Software Development Life Cycle IT Powerpoint Presentation Slides to effectively help you save your valuable time. They are readymade to fit into any presentation structure.

The advantages of the Waterfall model include simplicity, straightforwardness, clearly defined stages, and stability.

The RAD model can be used in scenarios where the project requirements are well-defined, and there is a need for quick software development.

The phases of the Agile process model include requirement gathering, design, development, testing, and deployment. The model also emphasizes continuous iteration and feedback throughout the development process.

Some of the commonly used Software Development Life Cycle (SDLC) models are the waterfall model, rapid application development (RAD) model, spiral model, V-model, and agile process model. Each model has its own strengths and weaknesses, and organizations can choose the one that best suits their needs.

Software Development Life Cycle (SDLC) is important for an organization because it provides a systematic approach to software development that ensures high quality, reduces risks and costs, and improves customer satisfaction. It also helps organizations to manage their resources effectively and deliver software products on time and within budget.

Ratings and Reviews

by David Wright

April 15, 2022

by Roberts Roberts

April 14, 2022

• MyU : For Students, Faculty, and Staff

Fall 2024 CSCI Special Topics Courses

Cloud computing.

Meeting Time: 09:45 AM‑11:00 AM TTh  Instructor: Ali Anwar Course Description: Cloud computing serves many large-scale applications ranging from search engines like Google to social networking websites like Facebook to online stores like Amazon. More recently, cloud computing has emerged as an essential technology to enable emerging fields such as Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning. The exponential growth of data availability and demands for security and speed has made the cloud computing paradigm necessary for reliable, financially economical, and scalable computation. The dynamicity and flexibility of Cloud computing have opened up many new forms of deploying applications on infrastructure that cloud service providers offer, such as renting of computation resources and serverless computing.    This course will cover the fundamentals of cloud services management and cloud software development, including but not limited to design patterns, application programming interfaces, and underlying middleware technologies. More specifically, we will cover the topics of cloud computing service models, data centers resource management, task scheduling, resource virtualization, SLAs, cloud security, software defined networks and storage, cloud storage, and programming models. We will also discuss data center design and management strategies, which enable the economic and technological benefits of cloud computing. Lastly, we will study cloud storage concepts like data distribution, durability, consistency, and redundancy. Registration Prerequisites: CS upper div, CompE upper div., EE upper div., EE grad, ITI upper div., Univ. honors student, or dept. permission; no cr for grads in CSci. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/6BvbUwEkBK41tPJ17 ).

CSCI 5980/8980 

Machine learning for healthcare: concepts and applications.

Meeting Time: 11:15 AM‑12:30 PM TTh  Instructor: Yogatheesan Varatharajah Course Description: Machine Learning is transforming healthcare. This course will introduce students to a range of healthcare problems that can be tackled using machine learning, different health data modalities, relevant machine learning paradigms, and the unique challenges presented by healthcare applications. Applications we will cover include risk stratification, disease progression modeling, precision medicine, diagnosis, prognosis, subtype discovery, and improving clinical workflows. We will also cover research topics such as explainability, causality, trust, robustness, and fairness.

Registration Prerequisites: CSCI 5521 or equivalent. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/z8X9pVZfCWMpQQ6o6  ).

Visualization with AI

Meeting Time: 04:00 PM‑05:15 PM TTh  Instructor: Qianwen Wang Course Description: This course aims to investigate how visualization techniques and AI technologies work together to enhance understanding, insights, or outcomes.

This is a seminar style course consisting of lectures, paper presentation, and interactive discussion of the selected papers. Students will also work on a group project where they propose a research idea, survey related studies, and present initial results.

This course will cover the application of visualization to better understand AI models and data, and the use of AI to improve visualization processes. Readings for the course cover papers from the top venues of AI, Visualization, and HCI, topics including AI explainability, reliability, and Human-AI collaboration.    This course is designed for PhD students, Masters students, and advanced undergraduates who want to dig into research.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/YTF5EZFUbQRJhHBYA  ). Although the class is primarily intended for PhD students, motivated juniors/seniors and MS students who are interested in this topic are welcome to apply, ensuring they detail their qualifications for the course.

Visualizations for Intelligent AR Systems

Meeting Time: 04:00 PM‑05:15 PM MW  Instructor: Zhu-Tian Chen Course Description: This course aims to explore the role of Data Visualization as a pivotal interface for enhancing human-data and human-AI interactions within Augmented Reality (AR) systems, thereby transforming a broad spectrum of activities in both professional and daily contexts. Structured as a seminar, the course consists of two main components: the theoretical and conceptual foundations delivered through lectures, paper readings, and discussions; and the hands-on experience gained through small assignments and group projects. This class is designed to be highly interactive, and AR devices will be provided to facilitate hands-on learning.    Participants will have the opportunity to experience AR systems, develop cutting-edge AR interfaces, explore AI integration, and apply human-centric design principles. The course is designed to advance students' technical skills in AR and AI, as well as their understanding of how these technologies can be leveraged to enrich human experiences across various domains. Students will be encouraged to create innovative projects with the potential for submission to research conferences.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/Y81FGaJivoqMQYtq5 ). Students are expected to have a solid foundation in either data visualization, computer graphics, computer vision, or HCI. Having expertise in all would be perfect! However, a robust interest and eagerness to delve into these subjects can be equally valuable, even though it means you need to learn some basic concepts independently.

Sustainable Computing: A Systems View

Meeting Time: 09:45 AM‑11:00 AM  Instructor: Abhishek Chandra Course Description: In recent years, there has been a dramatic increase in the pervasiveness, scale, and distribution of computing infrastructure: ranging from cloud, HPC systems, and data centers to edge computing and pervasive computing in the form of micro-data centers, mobile phones, sensors, and IoT devices embedded in the environment around us. The growing amount of computing, storage, and networking demand leads to increased energy usage, carbon emissions, and natural resource consumption. To reduce their environmental impact, there is a growing need to make computing systems sustainable. In this course, we will examine sustainable computing from a systems perspective. We will examine a number of questions:   • How can we design and build sustainable computing systems?   • How can we manage resources efficiently?   • What system software and algorithms can reduce computational needs?    Topics of interest would include:   • Sustainable system design and architectures   • Sustainability-aware systems software and management   • Sustainability in large-scale distributed computing (clouds, data centers, HPC)   • Sustainability in dispersed computing (edge, mobile computing, sensors/IoT)

Registration Prerequisites: This course is targeted towards students with a strong interest in computer systems (Operating Systems, Distributed Systems, Networking, Databases, etc.). Background in Operating Systems (Equivalent of CSCI 5103) and basic understanding of Computer Networking (Equivalent of CSCI 4211) is required.

• Future undergraduate students
• Future transfer students
• Future graduate students
• Future international students
• Diversity and Inclusion Opportunities
• Learn abroad
• Living Learning Communities
• Mentor programs
• Programs for women
• Student groups
• Visit, Apply & Next Steps
• Information for current students
• Departments and majors overview
• Departments
• Undergraduate majors
• Graduate programs
• Integrated Degree Programs
• Additional degree-granting programs
• Online learning
• Academic Advising overview
• Academic Advising FAQ
• Academic Advising Blog
• Appointments and drop-ins
• Academic support
• Commencement
• Four-year plans
• Honors advising
• Policies, procedures, and forms
• Career Services overview
• Resumes and cover letters
• Jobs and internships
• Interviews and job offers
• CSE Career Fair
• Major and career exploration
• Graduate school
• Collegiate Life overview
• Scholarships
• Diversity & Inclusivity Alliance
• Anderson Student Innovation Labs
• Information for alumni
• Get engaged with CSE
• Upcoming events
• CSE Alumni Society Board
• Alumni volunteer interest form
• Golden Medallion Society Reunion
• 50-Year Reunion
• Alumni honors and awards
• Outstanding Achievement
• Alumni Service
• Distinguished Leadership
• Honorary Doctorate Degrees
• Nobel Laureates
• Alumni resources
• Alumni career resources
• Alumni news outlets
• CSE branded clothing
• International alumni resources
• Inventing Tomorrow magazine
• Update your info
• CSE giving overview
• Why give to CSE?
• College priorities
• Give online now
• External relations
• Giving priorities
• Donor stories
• Impact of giving
• Ways to give to CSE
• Matching gifts
• CSE directories
• Invest in your company and the future
• Recruit our students
• Connect with researchers
• K-12 initiatives
• Diversity initiatives
• Research news
• Give to CSE
• CSE priorities
• Corporate relations
• Information for faculty and staff
• Administrative offices overview
• Office of the Dean
• Academic affairs
• Finance and Operations
• Communications
• Human resources
• Undergraduate programs and student services
• CSE Committees
• CSE policies overview
• Academic policies
• Faculty hiring and tenure policies
• Finance policies and information
• Graduate education policies
• Human resources policies
• Research policies
• Research overview
• Research centers and facilities
• Research proposal submission process
• Research safety
• Award-winning CSE faculty
• National academies
• University awards
• Honorary professorships
• Collegiate awards
• Other CSE honors and awards
• Staff awards
• Performance Management Process
• Work. With Flexibility in CSE
• K-12 outreach overview
• Summer camps
• Outreach events
• Enrichment programs
• Field trips and tours
• CSE K-12 Virtual Classroom Resources
• Educator development
• Sponsor an event