Boost Your Mobile Apps’ Emotional Intelligence with Machine Learning and NativeScript
summary
A small recipe app called Quick Noms is built with NativeScript + Angular and Firebase and augmented with a ~$25 Particle Photon temperature sensor that posts every ~10s to the Particle cloud then to a Firebase collection named "temperatures" to surface hot/cold-tagged recipes; Algolia handles search, Clarifai and Google Cloud Vision are used for ingredient detection (Clarifai needs ~4–8 tags at >0.899 confidence and fails with only ~20 training images), and on-device options like TensorFlow Lite (shown by Google Translate offline demo) avoid network latency.
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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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