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Merge pull request #2413 from arduino/mcmchris/nano-matter/magic-wand-update
Magic Wand Minor Fix
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content/hardware/03.nano/boards/nano-matter/tutorials/08.ml-magic-wand/content.md

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This tutorial describes how to build a gesture recognition system based on a machine learning model using TensorFlow Lite and the Arduino Nano Matter.
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![Nano Matter Magic Wand](assets/thumbnail.png)
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![Nano Matter Magic Wand](assets/ani3.gif)
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The Arduino Nano Matter acts as a digital magic wand 🪄, where sensor data from its movements is processed by a model to classify and detect specific gestures. The inference results will turn on Modulino Pixels on a specific color respectively to the detected gesture.
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The goal of this project tutorial is to showcase the capabilities of the Arduino Nano Matter running Tiny Machine Learning models on the edge for gesture recognition.
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The wand can detect two gestures drawn in the air: **"W" (wing gesture)** and **"O" (ring gesture)**.
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![Project working demo](assets/ani2.gif)
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## Hardware and Software Requirements
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