TinyML on ESP32 step by step - from training to deployment

The article on TeachMeMicro presents a guide on utilizing TinyML with the ESP32 module. TinyML is a technology that allows running machine learning models on low-power devices, making it ideal for Internet of Things (IoT) applications. The author explains the steps needed to set up the environment for TinyML, providing projects and source code that aid in learning. Key sections include preparing the board, installing necessary libraries, and launching simple applications. Additionally, there is a section with tips on model optimization, which is crucial for achieving better performance on resource-constrained devices. This article serves as a great introduction to the world of TinyML for those looking to elevate their IoT projects using advanced machine learning algorithms.