Doctor patient visit

Build a Doctor-Patient Conversation Summary Application that continuously captures and analyzes full-day conversations between doctors and patients. The application should: Identify and distinguish between doctor and patient voices using speaker diarization. Segment each conversation track accurately by session or interaction. Transcribe and summarize each conversation in clear, concise medical language. Highlight key medical discussions, symptoms, advice, and prescriptions. Separate and organize summaries by patient, timestamp, and relevance. Use AI-powered NLP models to extract medical insights, flag important health indicators, and generate daily logs. The goal is to streamline medical documentation, reduce manual note-taking, and ensure no critical detail is missed during patient interactions.