Data Processing

Allows you to run machine learning models locally on arduino boards.
This library runs deepC machine learning models on microcontrollers, allowing you to build AI/ML applications powered by deep learning and neural networks. With the included examples, you can recognize speech, detect people using a camera, and recognise asl gestures using an accelerometer. The examples work best with the Arduino Nano 33 BLE Sense board, which has a microphone and accelerometer.

Author: Rohit Sharma et. al.

Maintainer: Rohit Sharma

Read the documentation

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This library is compatible with the architecture.


To use this library, open the Library Manager in the Arduino IDE and install it from there.