A web app demoing ResNet50, built using the Flutter UI toolkit.

ResNet50 is a deep learning model trained on the ImageNet dataset. This model is imported from TensorFlow / Keras.

The model is served over a Flask web server and then powered by a stateless Docker container on Google Cloud Run.

To see how this is implemented, see my repo resnet-flask for the backend infrastructure.

Feedback is greatly appreciated!

A huge thanks to Felix Blaschke for the Particle background and Rodolfo Hernandez for the image upload concept via Flutter.