On-Device ML using Flutter and TensorFlow Lite

This is a companion repo for the Medium tutorial on On-Device ML in Flutter with Tensorflow Lite, where we build a Flutter app that consumes a pre-trained model trained in Google Colab, and loaded onto a Flutter app for an on-device ML experience. The trained model converts a supplied Celsius degree into Fahrenheit.

###Medium Article Links:###

• Part 1 of the Tutorial
• Part 2 of the Tutorial

This is the schematics of what we accomplished in this Flutter app:

This is what you should expect at the end of the project:

• Provided Google Colab Notebook here

• Already trained Tensorflow Lite ML model available in the assets/models/ folder; filename modelc2f.tflite.

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