By Gaurav Bhagat
This project is an AI-assisted medical coding copilot that helps coders review multi-document clinical cases and generate diagnosis code recommendations with evidence and reasoning. Users upload several patient documents, receive primary and secondary ICD recommendations with confidence scores, and can inspect the supporting findings linked back to original records before deciding. The system also includes an admin layer for switching models and updating coding guidelines so reasoning stays aligned with current ICD knowledge.