Starter kit 114992774

In partnership with Prof Vijay Reddi from Harvard University, this kit offers an exclusive course that enables individuals to obtain Embedded Machine Learning theory and skills through hands-on exercises using Edge Impulse and Wio Terminal & Grove system, aiming to provide educators and TinyML beginners a “course in a box” experience. Features Highly integrated kit: microphone, 3-axis accelerometer, light sensor, 2.4’’ LCD screen, 5- way switch, 1x Grove Ultrasonic sensor , 1x Grove Temperature & Humidity sensor Course-in-a-box: exclusive course developed by professor from Harvard University From theory to practice: introduces fundamental theory to actual applications of ultra-low power machine learning at the edge Extensive use: supports Codecraft graphical programming, Arduino, Micropython,etc With the motivation of facilitating a bigger population - regardless of their backgrounds - to learn and apply ultra-low power machine learning at the edge to solve the industrial, environmental, social, and economic concerns of our time, we are honored and excited to collaborate with Professor Vijay Janapa Reddi of Harvard University on this initiative with generous support from tinyML Foundation and Edge Impulse.