About this item

The Tiny Machine Learning Kit (TinyML Kit) is a powerful educational and development platform designed to help users explore and implement machine learning on microcontrollers. Created in collaboration with Arduino and Harvard University, the kit is used in the TinyML specialization on edX, including the courses TinyML Applications and Deploying TinyML on Microcontrollers. It equips learners and developers with hands-on experience in building intelligent, low-power devices that can sense, process, and make decisions at the edge—without the need for cloud-based computing.The kit includes the Arduino Nano 33 BLE Sense, which comes with a rich suite of onboard sensors and the processing power needed for running trained machine learning models using TensorFlow Lite. It also includes the OV7675 camera module, allowing for visual data input for projects like image recognition or motion tracking. With full support for the TensorFlow Lite for Microcontrollers framework, the kit is perfect for building applications like keyword spotting, gesture recognition, and environmental monitoring.Whether you're a student, hobbyist, or professional, the TinyML Kit is your gateway to building smart, autonomous systems that run right on the device—efficient, responsive, and always-on.

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