Welcome to BunnieX Hackathon, an AI innovation challenge where students, developers, designers, and technology enthusiasts come together to build impactful solutions using Artificial Intelligence.
Whether you're passionate about Generative AI, Computer Vision, NLP, automation, healthcare, education, sustainability, fintech, or productivity, this is your opportunity to transform ideas into working prototypes.
Participants are encouraged to think creatively, collaborate effectively, and leverage modern AI technologies to solve real-world problems and can build:
- AI-powered web or mobile applications
- Intelligent assistants and chatbots
- Healthcare and education solutions
- Productivity and automation tools
- Sustainability and social impact projects
- Developer tools powered by AI
- Any innovative AI solution with real-world value
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.
Prizes
Learn to Invest Prize
The 2nd winning team will receive complimentary access to a premium Stock Market & Investing course covering fundamental analysis, technical analysis, portfolio management, risk management, and practical investing strategies.
AI Credits Jackpot
The winning team gets $300 worth of Featherless AI credits to power their next AI project, experiment, or innovation.
Adaption Credits Jackpot
every single member of the winning teams will receive $1,000 in Adaption credits
Judges
Sahiti Potini
Sarvesh Gupta
Sri Harsha Pothineni
Mandar Chaudhari
Alina Olefirenko
Navya Sharma
Judging Criteria
-
Application
Projects should have a feasible real-world use. Could someone realistically adopt this, and would it deliver a clear benefit? Strong submissions identify who they help, what problem they solve, and why people would actually use them. -
Intentionality
Projects should offer an intuitive, engaging experience for their target users, guided by clear first principles. Every design choice should feel purposeful, with a clear sense of who it's for and why it works the way it does. -
Functionality
Projects should work as intended, with a live demo that runs smoothly free of major bugs. -
Creativity
Projects should show original thinking and a fresh perspective, with inventive problem framing and unexpected combinations of ideas or technologies. Clearly show what makes your project stand out from similar work. -
Technical Complexity
Teams should show a command of the frameworks and infrastructure behind their project, with sound architectural choices and engineering depth that goes beyond basic implementation.
Questions? Email the hackathon manager

