CureWise — Agentic RAG for Healthcare
A production-grade healthcare platform that combines fine-tuned vision models, agentic RAG, and LLMs to deliver medical analytics, report parsing, and conversational AI — all dockerized and deployed end-to-end.
Doctors and patients needed one interface to parse medical reports, diagnose skin conditions from images, and book appointments — without the hallucinations that kill clinical trust.
Built an agentic RAG architecture: LangGraph routes each request to the right tool — a fine-tuned vision model for image diagnosis, a Pinecone-backed retriever grounded in PostgreSQL patient history, or a calendar agent. Every LLM answer is constrained to retrieved context and dockerized for reproducible deployment.
Zero-hallucination responses grounded in real-time PostgreSQL patient history. Fine-tuned vision models diagnose acne and rashes from uploads. Agents hit a calendar API to book appointments directly from chat.
- Agentic routing with LangGraph across diagnosis, retrieval, and booking tools
- Vision models fine-tuned to classify skin conditions from user uploads
- RAG grounded in live PostgreSQL patient records — no hallucinated history
- Fully dockerized for one-command, reproducible deployment
- LangChain
- LangGraph
- Pinecone
- Docker
- PostgreSQL
- GPT-3.5