Case study

NutriMate

I developed NutriMate, an intelligent nutrition chat system that leverages Retrieval Augmented Generation (RAG) to deliver personalized dietary guidance. The system combines a comprehensive nutrition knowledge base with advanced natural language processing to provide tailored recommendations based on users' health profiles, dietary preferences, and wellness goals.

Python, Flutter, Flask, LangChain, Pinecone, OpenAI, Redis, PostgreSQL