MedAI is a Flask-served Python application backed by MongoDB for clinical data persistence. The system combines RAG-powered disease retrieval across 14,000+ Human Disease Ontology entries, rule-based vital risk scoring, medical imaging analysis, and multi-turn AI chat — all running entirely on-device with no cloud dependency. Team Members This project was developed by: @v_srimukh — V. Srimukh @vamshidhar_reddy — M. Vamshidhar Reddy @s_narendhar — S. Narendhar @pavan_sri_ram — A. Pavan Sri Ram We would like to express our sincere gratitude to @chanda_rajkumar for their invaluable guidance and support throughout this project. Their insights into system design, architecture, and the RAG pipeline played a key role in shaping MedAI. The Problem We Set Out to Solve Clinical decision support tools are expensive. Epic, Cerner, UpToDate — the software most hospitals use comes with licensing fees that only large institutions can justify.…