TinyML enables developers to run Machine Learning models on embedded devices with scarce resources, allowing users to detect complex motions, recognize sounds, classify images or find anomalies in sensor data. Sounds complicated? Doesn’t have to be! In this blog post we’ll show you how you can use Edge Impulse - a free, online platform for building TinyML projects - together with PlatformIO to capture training data, train a machine learning model, and then run this model on your development board.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/PlatformIO