This app demonstrates how to integrate tflite models using tflite_flutter
plugin with a Flutter app for image classification.
Uses riverpod to inject the model's interpreter that's cached during startup.
Clone repo -> Develop a ML model to classify/use a pre-trained model ->
Run flutter pub get -> Use the app
The original model used to test in this app is not uploaded in the repo as the
file is too big. Modify the classify() function to fit your needs.
This code is licensed under MIT License. Check the LICENSE file for more details.