RAG-Based Chatbot for Lecture Notes

• Difficulty: Beginner (AI basics and Retrieval-Augmented Generation)
• Term Length: Full academic year (Fall 2025 – Winter 2026)

Description

This project is a chatbot designed as a personal study assistant. Students will upload their lecture notes (PDFs), which will be processed and stored in a vector database. The chatbot will use a Large Language Model to retrieve relevant information and generate answers, summaries, or explanations.

Skills Gained

• Python development and GitHub collaboration
• Working with vector search databases
• Using OpenAI or AWS Bedrock APIs
• Documenting and presenting a technical project

Technical Details

• Core Language: Python
• PDF Parsing: PyMuPDF or pypdf
• Vector Search: FAISS or ChromaDB
• LLM: OpenAI/AWS Bedrock APIs
• Version Control: GitHub