Arduino Tiny Machine Learning Kit – your complete gateway into building intelligent, responsive, and compact devices powered by TinyML! Whether you're aiming to detect keywords, recognize gestures, or classify images and sounds, this kit empowers you to create smart applications directly on low-power microcontrollers.
Developed in collaboration with the TinyML specialization on EdX, this kit is ideal for anyone ready to explore Machine Learning on microcontrollers. It includes the powerful Arduino Nano 33 BLE Sense, packed with onboard sensors for motion, orientation, sound, light, proximity, and more — enabling a wide range of ML applications. Also included is the OV7675 camera module and custom TinyML shield, making hardware integration seamless and project-ready.
With support for TensorFlow Lite for Microcontrollers, you'll be able to run classical ML models and deep neural networks for real-world tasks such as:
Keyword spotting
Gesture recognition
Face detection
Sound classification
This kit is perfect for students, developers, researchers, or hobbyists eager to build intelligent edge devices without relying on cloud computing.
Note: The Nano 33 BLE Sense included does not have the HTS221 sensor (temperature and humidity). All other functionality remains fully compatible with the kit’s documentation and tutorials.
What's Included:
1x Arduino Nano 33 BLE Sense board
1x OV7675 Camera Module
1x Arduino TinyML Shield
1x USB A to Micro USB Cable
Learn, build, and innovate — with the Arduino TinyML Kit, the future of Machine Learning is not only tiny, it's limitless.