Palmistry
TensorFlow.js & MediaPipe Hands Edge AI Computer Vision App
Real-time mobile app capturing hand images to detect palm lines using on-device TensorFlow.js and MediaPipe computer vision models.
Palmistry
TensorFlow.js & MediaPipe Hands Edge AI Computer Vision App
What Needed to Be Solved
An entertainment app required real-time camera hand detection and on-device machine learning inference without sending raw photos to external cloud servers.
How I Engineered the Solution
Integrated TensorFlow.js, Fast TFLite, and MediaPipe Hands with react-native-vision-camera for instant 30+ FPS landmark tracking, MMKV local cache, and AdMob monetization.
Key Production Features Built
Sustained 30+ FPS real-time hand tracking directly on mobile hardware with full privacy protection.
Need an App or Platform Like Palmistry?
Work directly with Inayat Ali (Founder & Senior Full-Stack Architect) to design, build, launch, or scale your mobile app and web platform—with transparent milestones and zero agency middlemen.