Arduino Tiny Machine Learning Kit

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.