AskMyNotes
RAG study copilot that answers only from your notes. First place, Noesis Hackathon

First place, Noesis Hackathon, Vedam School of Technology (8 hours, about 50 teams)
What it does
Upload lecture notes as PDF or text, then ask questions and get answers grounded only in that material, with citations to the file and chunk and a confidence badge. Or switch to study mode and generate five MCQs or three short-answer questions from the same chunks. Voice in and out through the Web Speech API.
Retrieval
Confidence is computed from the similarity scores of the chunks that survived the threshold, and forced to Low whenever the model answers “Not found in your notes”. That refusal path is the anti-hallucination layer: the system would rather say nothing than invent.
The hackathon, and who did what
Noesis, Vedam School of Technology, eight hours, about fifty teams. A rule change halfway through and a connectivity failure near submission. We were shortlisted to the top ten and then announced first. Team: Nimit Jain (landing page, frontend, Supabase auth), Ved Kumar Singh (the three API routes), and me (the dashboard, and the RAG design with Ved: ChromaDB, the chunking and overlap, the retrieval). The commits for the routes are Ved’s; the design of what they do was shared work.