BunnieX Hackathon

Requirements

Build an AI-powered solution that addresses a real-world problem and demonstrates meaningful use of Artificial Intelligence. Your project can fall into any domain or use case, as long as it showcases creativity, technical implementation, and potential real-world impact.

You can build:

• Generative AI applications — AI assistants, content generation, RAG systems, etc.
• Computer Vision solutions — image/video analysis, detection, recognition, etc.
• NLP applications — intelligent search, text analysis, translation, summarization, etc.
• Healthcare & Education — solutions that improve accessibility, learning, or well-being.
• Sustainability & Social Impact — technology-driven solutions for environmental or social challenges.
• Productivity & Automation — tools that automate workflows or make everyday tasks smarter.
• AI Developer Tools — coding assistants, debugging tools, testing solutions, and more.
• Anything innovative — if you have an original AI idea outside these categories, go for it!

Focus on building something that is useful, innovative, technically sound, and capable of creating real-world impact.

Your submission should clearly demonstrate your idea, implementation, and impact. Please include:

• Project Title & Description — A clear overview of what you built and the problem you are solving.
• Problem Statement — Explain the real-world problem your project addresses and why it matters.
• Solution & Features — Describe your approach, key features, and how AI is used.
• Technology Stack — Mention the AI models, APIs, frameworks, libraries, and other technologies used.
• Demo — Provide a working demo link, deployed application, or video demonstrating your project.
• Source Code — Submit a link to your GitHub repository with the complete project code.
• Impact & Future Scope — Explain the potential impact of your solution and how it could be developed further.

Tip: Don't just tell us what you built—show us what makes it innovative. A strong submission should make it easy for the judges to understand the problem, experience the solution, and see its potential.