A demo for turning an ESP32-S3 microcontroller into a tiny, instant-on PC with a shell, editor, compiler, and app installer.
This article explores TinyML, a branch of machine learning run on microcontrollers like the ESP32. It details how TinyML can be used for local inference, anomaly detection, and efficient data processing with minimal power consumption, using an example of temperature and humidity monitoring.
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