Overview
TinyML Edge Projects is a collection of experiments and deployments focusing on running optimized machine learning models directly on edge devices like Raspberry Pi and microcontrollers.Projects include keyword spotting, visual wake word detection, custom gesture recognition, and anomaly detection.
Key Features
- Deploying TensorFlow Lite models on Raspberry Pi 5
- Keyword Spotting (Hotword detection)
- Visual Wake Words (object presence detection)
- Gesture Recognition using Magic Wand datasets
- Custom dataset engineering for embedded ML
- Tiny model optimization for edge inference (low power)
Tech Stack
- TensorFlow Lite Micro
- Edge Impulse / TensorFlow Lite
- Python
- Raspberry Pi 5, Microcontrollers
- Embedded Hardware and Software Engineering