Aksa Fatima

The RAG-based Tutoring Chatbot is made using Python, LangChain and FAISS. The system retrieves relevant context from a knowledge base before generating answers with Gemini Flash, grounding responses instead of relying on the model's raw knowledge.I evaluated it with the RAGAS framework, achieving ~0.87 faithfulness and ~0.83 answer relevancy, and deployed it live on Streamlit Community Cloud.I built this project from scratch with no prior coding experience, learning Git and GitHub along the way.