A fitness tracker for the Arduino Nano 33 BLE Sense. Built using Tensorflow Lite for Microcontrollers, P5.js, P5.ble.js and standard web technologies(HTML, CSS, JavaScript).
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Updated
Jul 10, 2021 - C
A fitness tracker for the Arduino Nano 33 BLE Sense. Built using Tensorflow Lite for Microcontrollers, P5.js, P5.ble.js and standard web technologies(HTML, CSS, JavaScript).
Master's Thesis: "Acoustic Identification of Wood-Boring Insects with TinyML".
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