Welcome to the Artificial Intelligence Marathon, a global hackathon where innovators, developers, and problem-solvers come together to build AI-powered solutions that make a real-world impact.z
This event challenges participants to design working projects that combine AI models, real datasets, and powerful user interfaces to solve everyday problems — from healthcare and education to sustainability, accessibility, and productivity.
💡 What Makes It Special
- Real-World Focus: Every project must tackle a meaningful, practical problem — not just a concept demo.
- Full-Stack AI Approach: Integrate models + data + UI to deliver end-to-end, functional applications.
- Open Innovation: Use any framework, dataset, or model — from computer vision to LLMs — as long as it’s open and ethical.
- Expert Mentorship: Get feedback from AI professionals and industry experts to refine your idea.
- Global Collaboration: Connect with passionate developers, data scientists, and designers from around the world.
🏆 Why Join?
- Build something impactful with AI and real data.
- Strengthen your portfolio with a complete, deployable project.
- Compete for prizes, recognition, and opportunities to present your work.
- Join a movement that’s shaping the next generation of responsible, applied AI innovation.
Prizes
Cash Prize + Certificate
Our goal is to recognize innovation, impact, and technical excellence — not just reward participation. Each winner will receive certificates signed by the judge
Top-performing participants may receive industry mentorship or referral consideration from professionals at leading tech companies, including Amazon
Referral will be provided to participants who do a good
Judges
Tejas Pravinbhai Patel
Amazon
Ashwini Joshi
HBO
Jeevitha Gowda Chandramouli
Qualcomm
Judging Criteria
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Innovation & Creativity (25 pts)
How original and creative is the solution? Does it introduce a new approach or perspective to solving a real-world problem? -
Technical Implementation (25 pts)
Quality of code, architecture, data handling, and AI model integration. Is the system functional, efficient, and well-engineered? -
Practical Impact (20 pts)
Does the project address a meaningful problem and provide measurable benefits to users or society? -
AI Model & Data Usage (15 pts)
Proper application of AI/ML models and data. Are datasets valid, unbiased, and well-used? Are results explainable and responsible? -
User Experience & Design (10 pts)
Clarity, accessibility, and usability of the user interface or demo. -
Documentation & Presentation (5 pts
Quality of README, presentation video, and clarity of communication.
Questions? Email the hackathon manager