TinyML Real‑Time Sign Language Recognition on Low‑Power Devices
TinyML real‑time sign language recognition lets you build a low‑power translator that runs on an ESP32‑C3. The guide covers dataset prep, model training, quantization, and deployment.
Edge AI Audio Event Detection: A Practical Guide
Edge AI audio event detection lets microcontrollers listen, classify, and react to sounds instantly—no cloud needed. This guide walks through data collection, feature extraction, model training, quantization, and deployment on Raspberry Pi 4 and ESP32.
TinyML: Deploying Machine Learning on Microcontrollers for Smart Sensors
TinyML lets you run neural networks on tiny microcontrollers, enabling smart sensors that keep data local and save power. This guide walks through a voice‑activity demo on ESP32‑S3 and covers best practices.