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In this video, we develop a model to detect one of two words: "Nano" and "Stop". We use the onboard microphone of the Nano 33 BLE and also show a method to do this using a smartphone. You can train the model to detect any word you wish. Reference Links to Relevant Edge Impulse Documentation: https://docs.edgeimpulse.com/docs https://docs.edgeimpulse.com/docs/ard... Components: Arduino TinyML Kit Arduino Nano 33 BLE Sense Reference Links: 1. Getting Started with Edge Impulse & Arduino Nano 33 BLE Sense: https://docs.edgeimpulse.com/docs/ard... 2. Arduino Nano 33 BLE Sense Edge Impulse Firmware: https://github.com/edgeimpulse/firmwa... 3. NodeJS: https://nodejs.org/en/ 4. Python: https://www.python.org/ 5. Installing Arduino CLI on Windows 10: • Installing the Arduino CLI on Windows 10 , https://arduino.github.io/arduino-cli... 6. Coursera - Introduction to Embedded Machine Learning: https://www.coursera.org/learn/introd... 7. Harvard - HarvardX's Tiny Machine Learning (TinyML) Professional Certificate: https://www.edx.org/professional-cert... Chapters: 00:00 - Introduction 00:54 - Setting up the project on Edge Impulse 07:23 - Data Acquisition 08:19 - Collecting samples using Nano 33 BLE 11:47 - Collecting samples using a smartphone 17:30 - Training the model 25:58 - Deploying and testing the model