Episode 65 of Mobile Development with Fexingo dives into on-device AI for real-time 3D body mesh. Lucas and Luna break down how apps like Snapchat and FitOn use neural networks to map thousands of body points without sending data to the cloud. They discuss the tech stack — MediaPipe, ARKit, and TensorFlow Lite — and the engineering trade-offs between accuracy and battery life. Specific focus: how the latest Qualcomm Snapdragon chip enables sub-10-millisecond mesh inference on mid-range phones. Also covered: privacy implications, the jump from 2D skeleton tracking to volumetric mesh, and why this matters for fitness, fashion, and AR try-ons. No ads — listener-supported at buy me a coffee dot com slash fexingo.

#3DBodyMesh #OnDeviceAI #MobileApps #AR #Snapchat #MediaPipe #ARKit #TensorFlowLite #Qualcomm #Snapdragon #FitnessApp #FashionTech #ComputerVision #Privacy #EdgeAI #Technology #FexingoBusiness #BusinessPodcast

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