#product

🟠 In this final article, I connect the embedded AI device to the real world. I describe how inference results leave the MCU, travel through MQTT and HTTP, land in a Rust backend, and become visible th...

🟠 In this article, I walk through the complete TinyML lifecycle on a microcontroller — from dataset preparation and model training to running TensorFlow Lite Micro on bare metal and integrating the mo...

🟠 In this article, I'll explain the hardware I'm using in my AI device project, why I chose it, and how I structured the firmware in Rust. This is the foundation of the entire project: the MCU, disp...

In this series of articles, I'd like to show you how to create your own **ESP32-S3**-based device with **ML** built right into the firmware. 🟠 I'll try to describe not only what I'm doing, but also h...