Ajit - #14
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…etup ### Features Added - ✅ Complete system architecture with 4 specialized roles - ✅ FastAPI backend with WebSocket endpoints and LLM prompt engineering - ✅ ML edge anomaly detection (Isolation Forest + Z-score) - ✅ Realistic 45-minute ambulance dataset with septic shock progression - ✅ React dual-dashboard (Paramedic dark + ER clean views) - ✅ End-to-end streaming simulator for integration testing - ✅ Comprehensive documentation and guides ### Files Created - backend/main.py - FastAPI server with WebSocket + LLM integration - backend/requirements.txt - Dependencies - ml-engine/anomaly_detector.py - Edge anomaly detection engine - ml-engine/requirements.txt - ML dependencies - data-simulator/data_generator.py - Realistic synthetic data generation - data-simulator/requirements.txt - Data simulator dependencies - frontend/App.jsx - React WebSocket client + routing - frontend/DualDashboard.jsx - Dual dashboard components - frontend/package.json - Frontend dependencies - streaming_simulator.py - End-to-end integration test - docs/ARCHITECTURE.md - Complete system design - docs/JSON_CONTRACTS.json - Locked data format specifications - QUICKSTART.md - 30-minute setup guide - QUICK_REFERENCE.md - Single-page cheat sheet - SYSTEM_OVERVIEW.md - Visual architecture overview - PROGRESS_NOTES.md - Progress tracking - run.sh, run.bat - Auto-install scripts - Updated README.md with project details ### System Ready For - Phase 2 parallel development (deep work hours 3-10) - Testing all components independently - Full end-to-end integration ### How to Run 1. bash run.sh (or run.bat on Windows) 2. Open 3 terminals: - Terminal 1: cd backend && python -m uvicorn main:app --reload - Terminal 2: python streaming_simulator.py - Terminal 3: cd frontend && npm install && npm start 3. Visit http://localhost:3000 ### Issues Faced None - clean architecture lockdown with all components correctly interconnected. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Implemented real_data_streaming.py for loading actual patient data (p000009_sepsis.psv, p000001_stable.psv) - Integrated MIMIC-III sepsis and stable patient cases for authentic demo scenarios - Added real patient data loaders and streaming adapters - Created comprehensive documentation: REAL_DATA_QUICKSTART.md, REAL_TIME_INTEGRATION.md, etc. - Fixed Unicode encoding issues for Windows compatibility - Configured continuous data replay with adjustable speed multiplier (1x-10x) - ML anomaly detector detects sepsis crisis progression from real vital signs - Frontend dashboards now display authentic patient deterioration patterns - Added adapter framework for future MQTT/EHR integrations - All systems tested and running: Backend ✓ | Real Data Stream ✓ | Frontend ✓ Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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