Building a Remote Health Monitor: Integrating rPPG with React and Python

Short summary

Tutorial on building a remote health monitoring system using photoplethysmography (rPPG) for real-time heart rate detection from video feeds. React frontend captures and encodes frames; Python backend runs ML inference to extract vital signals (BPM, confidence scores) via REST/WebSocket API. Author addresses actual production challenges (512MB memory limits on Render) with Docker containerization.

• •React frontend captures video frames; Python backend extracts heart rate via rPPG ML inference
• •RESTful/WebSocket API design connects frontend to backend processing pipeline
• •Docker containerization solves production memory constraints and resource management

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