Machine Learning on the Edge
summary
Shows how to embed Google ML Kit into React Native apps and actually ship on-device models: demonstrates camera-based image classification (living vs non-living), object detection and face extraction using ML Kit’s downloadable models, handles permissions and model caching, and wires native ML Kit calls across the React Native bridge. Compares on-device inference to cloud in latency and bandwidth terms, details model packaging, offline behavior, and real example code that runs directly on a phone.
AI-written summary · about
related talks
10mMachine Learning And React Native
09mMachine Learning on the Edge
26mBuild your Machine Learning Model on Edge with React Native
30mMachine Learning in Android Apps with ML Kit
21mGetting the best of on-device ML with ML Kit
39mMachine Learning on Android Demystified
36mMachine Learning for Mobile Developers
39mCustomize Your App with MLKit
