hardware added

Author: mcmchris

content/hardware/03.nano/boards/nano-matter/tutorials/08.ml-magic-wand/content.md

@@ -18,4 +18,29 @@ software:
   - ide-v2
   - web-editor
   - iot-cloud
----
+---
+
+## Overview
+
+This tutorial describes how to build a gesture recognition system based on a machine learning model using TensorFlow and the Arduino Nano Matter.
+
+![Thumbnail](assets/)
+
+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 tur
+
+## Hardware and Software Requirements
+### Hardware Requirements
+
+- [Arduino Nano Matter](https://store.arduino.cc/products/nano-matter) (x1)
+- Nano Connector Carrier (x1)
+- Modulino Movement (x1)
+- Modulino Pixels (x1)
+- Qwiic cables (x2)
+- [USB-C® cable](https://store.arduino.cc/products/usb-cable2in1-type-c) (x1)
+- Custom 3D printed parts
+
+### Software Requirements
+
+- [Arduino IDE 2.0+](https://www.arduino.cc/en/software) or [Arduino Cloud Editor](https://create.arduino.cc/editor)
+- [Modulino library](https://github.com/arduino-libraries/Modulino). This library adds the support for the Modulinos, you can install it from the **Library Manager** in the Arduino IDE.
+- [Silicon Labs core](https://github.com/SiliconLabs/arduino). This enables the Silicon Labs hardware including the Arduino Nano Matter support. You can install it from the **Boards Manager** in the Arduino IDE.