AI / ML · Final year project topic
Chat with PDF — final year project kit
Ask questions about any PDF document and get answers cited by page number. A complete MERN and Python RAG system ready for your final year project submission.
Problem this project solves
A retrieval-augmented chat system: upload a PDF, ask questions in plain English, and get answers grounded in the actual document, with every answer citing the exact page it came from. Built with hybrid retrieval (exact-match + semantic search) so it handles both specific lookups and broad summary questions correctly.
Who it fits
B.Tech CSE, MCA, and BCA students building AI/ML demos.
Tech stack
- Streamlit
- pymupdf4llm
- sentence-transformers
- FAISS
- Groq API
What you can defend in viva
- ▸Upload any PDF and start asking questions immediately
- ▸Answers cited by exact page number
- ▸Hybrid retrieval — correctly handles specific numeric/identifier questions, not just fuzzy topic matches
- ▸Handles both narrow lookups and whole-document summary questions
What's in the kit
- Full working Streamlit application
- 8-chapter Word report (architecture, requirements, testing, references)
- 13-14 slide presentation deck
- Viva question bank with cheat sheet and pitch script
- Architecture diagrams
Packages from ₹1,499 · Book any project from ₹49 to lock the slot, then confirm tier on WhatsApp.