What to Build

Participants should create a project that aligns with the theme “AI for Good” by using technology to solve a meaningful real-world problem.

Projects may include:

• AI-powered applications
• Productivity or education tools
• Accessibility solutions
• Data science or analytics platforms
• Community or school improvement tools
• Sustainability or environmental solutions
• Health or wellness tools
• Computer vision or automation systems

You may build:

• Web applications
• Mobile apps
• Desktop software
• AI/ML systems
• Hardware-integrated projects
• Data-driven platforms
• Experimental or emerging technology projects

Participants are encouraged to focus on:

• Real-world usefulness
• Creativity and innovation
• Strong technical implementation
• User experience and design
• Ethical and responsible technology use

Bonus Consideration

Projects that meaningfully incorporate data science concepts may receive additional consideration during judging. Examples include:

• Classification models
• Predictive analytics
• Recommendation systems
• Data visualization
• Pattern recognition
• Statistical analysis
• Machine learning workflows

What to Submit

Each team must submit the following before the deadline:

Required Submission Materials

• Project name
• Team member names
• Short project description
• GitHub repository or source code
• Demo video or live demo
• List of technologies/tools used

Optional but Recommended

• Slides or pitch deck
• Architecture diagram
• Future improvement ideas
• Dataset or model documentation

Demo Expectations

Teams should clearly demonstrate:

• The problem being solved
• How the project works
• Technical implementation details
• Why the solution is impactful
• Any AI, machine learning, or data science components used

Submissions should be functional, understandable, and primarily created during the hackathon period.