Create an android app. Incorporate ML Kit and CameraX. Use CameraX to grab an image, pass it to MLKit, get the labels back, and render them in a toast.
** This is implemented as beandisease_poc android app **
Show how to use TensorFlow Model Maker to create a custom model using the beans dataset in TensorFlow Data Services.
** This is implemented as Beans_With_ModelMaker.ipynb **
Incorporate the beans model into the app, using Import->Other->TensorFlow Lite. Updae the code to use CameraX to get the image and pass it to this model. Get the labels back and render them in a toast
** This is implemented as beandisease_poc_lite android app **
Add Firebase services to the app, showing how, when moving towards productizing an app you may need things like analytics, sign-in or remote config
** This is implemented as beandisease_pod_lite_firebase android app **
Show the beans model running in the browser with TensorFlow.js
** This is implemented as beansapp **