EloquentTinyML Voice Classifier on Arduino Nano 33 BLE Sense

This is the code I've used in my Hackster.io project. The core principle is on Simone Salerno's blog article as well as his EloquentTinyML library.

• Use the same mic on Nano 33 BLE Sense for voice data collection/classfication
• Use standard Python and scikit-learn/Tensorflow 2 for neural network model training
• Very easy Tensorflow model deployment with one script and one model file

Requirements:

• Python 3 64-bit with Tensorflow 2, NumPy, matplotlib, scikit-learn and tinymlgen
• Install Arduino nRF528x Boards support and EloquentTinyML library in Arduino IDE