How Developers Are Building AI Pose Correction Tools Using React Native and MediaPipe

A new developer tutorial demonstrates how to build a smartphone-based physical therapy coach using React Native and MediaPipe's Pose Landmarker model. The application captures real-time body landmarks via the device camera and uses trigonometry to calculate joint angles, providing instant form feedback to users. All processing runs on-device using TensorFlow Lite with GPU acceleration, targeting 60 FPS performance while preserving user privacy. The pipeline routes camera frames directly into the MediaPipe inference engine to minimize latency overhead typical in React Native bridge calls. The tutorial also highlights production considerations such as handling motion jitter with Kalman Filters and adapting to varied lighting and body types.