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.