Conversational AI Chatbot for College FAQ using RAG

Build a Retrieval-Augmented Generation (RAG) chatbot that answers prospective-student questions about your engineering college (admission, courses, fees, hostel, placements). Index 50+ pages of college documents, use sentence embeddings + vector DB + an open-source LLM (Llama-3-8B or Mistral via Ollama).

Course Learning Outcomes (CLOs):
CLO1: Apply RAG pattern to ground LLM responses in private documents.
CLO2: Implement embedding-based semantic search.
CLO3: Iterate on prompt design + chunking strategies.
CLO4: Evaluate retrieval + answer quality using metrics + human eval.
CLO5: Deploy a privacy-friendly local-LLM chatbot.

Industry/societal relevance: Every Indian college is procuring AI chatbots for admissions; portfolio gold for vernacular-AI startups + EdTech (BYJU'S, Vedantu, Physics Wallah).