Arduino TinyML Kit Tutorial #7: Keyword spotting using the mic and EdgeImpulse

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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/arduino-nano-33-ble-sense

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/arduino-nano-33-ble-sense
2. Arduino Nano 33 BLE Sense Edge Impulse Firmware: https://github.com/edgeimpulse/firmware-arduino-nano-33-ble-sense
3. NodeJS: https://nodejs.org/en/
4. Python: https://www.python.org/
5. Installing Arduino CLI on Windows 10: https://www.youtube.com/watch?v=1jMWsFER-Bc, https://arduino.github.io/arduino-cli/latest/installation/
6. Coursera - Introduction to Embedded Machine Learning: https://www.coursera.org/learn/introduction-to-embedded-machine-learning
7. Harvard - HarvardX's Tiny Machine Learning (TinyML) Professional Certificate: https://www.edx.org/professional-certificate/harvardx-tiny-machine-learning

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
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