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.

• 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.