MedAI Assistant

This project is a Medical AI Assistant that answers medical questions using real medical research stored inside a MongoDB database.

It uses:

• MongoDB → stores vector embeddings + medical text

• Sentence Transformers/HuggingFace embeddings → for encoding queries/documents

• Cosine similarity search → retrieves the most relevant medical context

• Hugging Face LLM → generates a final natural-language answer

• Tkinter GUI → user-friendly desktop interface

• The system follows a RAG pipeline to ensure answers are grounded in scientific content