Endocare: ML + RAG Web App for Endometriosis Awareness and Diagnosis

Endocare is an AI-powered web application designed to support early detection and awareness of endometriosis, a chronic condition affecting millions of women worldwide.

What Endocare Does:
Predicts the probability of endometriosis using a trained machine learning model
Answers user questions with a Retrieval-Augmented Generation (RAG) system powered by curated medical data
Offers a user-friendly dashboard and progress tracking
Combines traditional ML and generative AI for a holistic user experience

🛠️ Tech Stack:
Langflow for RAG pipeline orchestration
FastAPI for ML & RAG backend services
Supabase for database and auth
React + Tailwind CSS for the frontend
Together AI for embeddings
Railway + Netlify for full deployment

Why it Matters:
Endometriosis is often misdiagnosed or diagnosed late. Endocare aims to bridge the gap between symptoms and support by making trusted AI tools accessible to everyone.

🔗 GitHub Repo: https://github.com/amey-patil306/endo-1.0

Видео Endocare: ML + RAG Web App for Endometriosis Awareness and Diagnosis канала Amey Patil