An AI-powered app that lets students upload PDF notes and ask questions in natural language. It retrieves relevant content from the notes and generates answers using a Retrieval-Augmented Generation (RAG) pipeline.
Project Status: Under Development — 5th Semester Minor Project
Help students study more efficiently by:
- Uploading lecture notes as PDFs
- Asking questions about their notes
- Getting AI-generated answers with source references
- Generating summaries and quizzes (planned)
Backend: FastAPI, PostgreSQL, SQLAlchemy, JWT auth
AI/RAG: Embeddings, Vector DB (FAISS/ChromaDB), LangChain
- Project setup & repo structure
- FastAPI backend skeleton
- Auth (signup/login)
- PDF upload & storage
- Embedding + vector search integration
- RAG-based Q&A endpoint
- Frontend
- Prakrati Saxena — Frontend, Backend & Auth
- Kumkum Nath — Embeddings & RAG Pipeline