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The Arduino Tiny Machine Learning Kit is an educational hardware bundle designed for hands-on learning and prototyping of embedded machine learning applications. It features the Arduino Nano 33 BLE Sense Lite board—equipped with motion, acceleration, rotation, barometric pressure, sound, gesture, proximity, color, and light intensity sensors—plus an OV7675 camera module and a custom Arduino Machine Learning Shield for easy integration and expansion. The kit enables the development of real-time projects such as audio keyword spotting, gesture recognition, and visual object detection using TensorFlow Lite Micro. Step-by-step tutorials and online courses (including HarvardX’s TinyML specialization) help users train, deploy, and optimize their own ML models directly on the device

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