@katravathsrinucse2338182

DocuMind turns any PDF into something you can actually talk to. Instead of scrolling through pages of dense text, you upload a document and ask it questions directly — DocuMind retrieves the most relevant sections and answers using Google's Gemma 4 model, with every response backed by real source citations so you can verify exactly where the answer came from. The problem is simple: research papers, contracts, and reports bury the information people need. Traditional search finds keywords, not answers. DocuMind reads for understanding and stays honest — if the answer isn't in the document, it says so instead of guessing. Key features: - Automatic PDF upload and text extraction - Natural language Q&A with grounded, accurate answers - Source citations on every response, showing the exact snippet used — proof the system isn't hallucinating - One-click summaries - Automatic action item extraction - "New Chat" reset for clean sessions Built with React and TypeScript on the frontend, Supabase for storage, database, and Edge Functions, and Google's Gemma 4 via the Gemini API powering every response — chosen specifically for this hackathon's Gemma challenge. Built solo, end-to-end, including real debugging of CORS issues, timeout handling, and a retrieval bug that initially caused missed titles/authors — fixed and now working with correct, cited answers. Intentionally scoped as a focused MVP: PDF-only for now, a capped context window, and single-user access, prioritizing a genuinely reliable core AI experience over spreading effort thin. The vision extends to researchers, teams, students, and professionals who need to trust an answer, not just get one — the citation system is the foundation for that trust.

🌎 Hybrid Hackathon | 📅 September 15–17, 2026 | 📍 Santa Clara Convention Center + Online The official hackathon of AI Infra Summit, co-organized by Kisaco Research and lablab.ai. Join builders, researchers, founders, and AI infrastructure leaders to create applications powered by the technologies shaping the future of AI: compute, data movement, models, physical AI, and next-generation infrastructure. With more than 8,000 attendees expected at AI Infra Summit, this hackathon is an opportunity to build, showcase your work, and connect directly with the companies driving the AI ecosystem forward. 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.