Boost Your App's Emotional Intelligence w/ NativeScript, Angular & Machine Learning
summary
A concrete demo of an empathetic recipe app called Quick Noms shows actual integrations: NativeScript + Angular front end, Firebase backend, a Particle Photon temperature sensor pushing readings via a webhook to Firebase to trigger hot/cold recipe suggestions, calls to clarify and Google Cloud Vision to tag plated food (clarify reliably finds fruit salad), and a TensorFlow mobile demo that runs labels on-device fast but sometimes misclassifies. The IoT demo briefly fails then recovers, proving the system works end-to-end.
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chapters (49)
- 0:00Intro
- 0:32Who am I
- 1:11Make your apps smarter
- 1:30Become more human
- 2:29Tools
- 3:05What is NativeScript
- 3:32Why use NativeScript
- 3:50Examples NativeScript
- 4:15Shared Code Stories
- 4:50Other Languages
- 5:38NativeScript
- 6:31Craft UI with XML
- 7:05Plugins
- 7:39Marketplace
- 7:49NativeScript Community
- 8:13QuickNoms
- 9:22Firebase
- 10:09Recipes
- 10:27Firebase Remote Config
- 11:10Hardware Hacking
- 13:01Particle Cloud
- 13:16Reading Reading Reading
- 13:32Consuming Data
- 14:26Testing
- 14:59Temperature Search
- 15:42Machine Learning
- 16:32Coursera Course
- 16:55What is Machine Learning
- 17:13Improve
- 18:01Supervised Learning
- 18:21Training Sets
- 18:49Machine Learning in the Wild
- 19:03Stitchsix
- 19:38Fabulosity
- 20:36Good Bad Examples
- 20:48Machine Learning Hard
- 21:08Clarify
- 21:34Quick Note
- 21:59Clarify API
- 22:20Clarify Service
- 22:41Clarify Demo
- 24:42Google Cloud Vision API
- 24:57Google Cloud Clarify
- 25:20Send a Picture
- 27:21Machine Learning on Device
- 27:50DIY Machine Learning
- 28:04Tensorflow Mobile
- 28:16TensorFlow Light
- 28:46TensorFlow Mobile Cocoa Demo
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