A simple app that uses the pre-trained machine learning models generated from Google's Teachable Machine and performs image classification on a live camera feed, ultimately displaying the inference output in realtime on the screen as well as sending its output to Blynk server or any available webhook.

NOTE:
Please visit our project writeup at https://tomatocube.com/usb-tf-classifier-with-arduino/ for a step by step guide on how to import your custom pretrained model from Google®'s Teachable Machine into this app to be used with your existing Blynk project running on an Arduino compatible board.

COMPATIBILITY:
For Blynk application, this app supports any internet connected Blynk compatible board.
Refer to https://github.com/blynkkk/blynkkk.github.io/blob/master/SupportedHardware.md for a full list of compatible boards.