Boost Your Mobile Apps with Machine Learning and NativeScript
summary
Built a Quick Noms mobile app with NativeScript + Angular and Firebase, plus Algolia search and Siri text‑to‑speech; connects a Particle Photon temperature sensor (~$25) that writes to the Particle Cloud and a webhook copies readings into Firebase so the app suggests recipes based on room temperature — the live demo works. Image classification uses Clarifai vs Google Vision: Clarifai mislabels complex plated dishes, Google Vision reliably identifies produce. Tried on‑device options (Core ML, TensorFlow Mobile / Lite) but limited training data (~20 images) yields poor accuracy.
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chapters (8)
- 0:00Start
- 12:14Mobile App Features
- 22:11How to make a machine learn
- 23:17Good uses of ML
- 24:59Scary uses of ML
- 28:09Microsoft
- 39:27Machine learning on device
- 42:08Machine learning and
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