> ## Documentation Index
> Fetch the complete documentation index at: https://docs.edgeimpulse.com/llms.txt
> Use this file to discover all available pages before exploring further.

# RAKwireless WisBlock

<Info>
  #### Community board

  This is a community board by RAKwireless and is not maintained by Edge Impulse. For support, head to the [RAKwireless homepage](https://www.rakwireless.com/) or the [RAKwireless forums](https://forum.rakwireless.com/).
</Info>

The RAKwireless WisBlock is a modular development system that lets you combine different cores and sensors to easily construct your next Internet of Things (IoT) device. The following WisBlock cores work with Edge Impulse:

* RAK11200 (ESP32)
* RAK4631 (nRF52840)
* RAK11310 (RP2040)

<Frame caption="RAKwireless WisBlock modular system diagram">
  <img src="https://mintcdn.com/edgeimpulse/tNkJb9FywquQpS7r/.assets/images/rakwireless-wisblock-wisblock-diagram.png?fit=max&auto=format&n=tNkJb9FywquQpS7r&q=85&s=28f05bc8b48ec7192ccfbca09aabd079" width="1600" height="941" data-path=".assets/images/rakwireless-wisblock-wisblock-diagram.png" />
</Frame>

RAKwireless has created an [in-depth tutorial](https://docs.rakwireless.com/Knowledge-Hub/Learn/Getting-Started-with-WisBlock-and-Edge-Impulse/) on how to get started using the WisBlock with Edge Impulse, including collecting raw data from a 3-axis accelerometer or a microphone, training a machine learning, and deploying the model to the WisBlock core.

A WisBlock starter kit can be found in the [RAKwireless store](https://store.rakwireless.com/products/wisblock-starter-kit?variant=41786582925510).

### Installing dependencies

Install the following software:

* [Edge Impulse CLI](/tools/clis/edge-impulse-cli/installation)
* [Arduino IDE](https://www.arduino.cc/en/software)
* [Visual Studio Code](https://code.visualstudio.com/)

### Connecting to Edge Impulse

Follow the guide for your particular core to collect data, train a machine learning model, and deploy it to your WisBlock:

* [RAK11200 (ESP32) Edge Impulse Guide](https://learn.rakwireless.com/hc/en-us/articles/26743421199383-How-To-Get-Started-with-WisBlock-and-Edge-Impulse#rak11200-data-uploading)
* [RAK11310 (RP2040) Edge Impulse Guide](https://learn.rakwireless.com/hc/en-us/articles/26743421199383-How-To-Get-Started-with-WisBlock-and-Edge-Impulse#rak11310-data-uploading)
* [RAK4631 (nRF52840) Edge Impulse Guide](https://learn.rakwireless.com/hc/en-us/articles/26743421199383-How-To-Get-Started-with-WisBlock-and-Edge-Impulse#rak4631-data-uploading)

By the end of the guide, you should have machine learning inference running locally on your WisBlock!

<Frame caption="Edge Impulse inference running on a RAKwireless WisBlock">
  <img src="https://mintcdn.com/edgeimpulse/tNkJb9FywquQpS7r/.assets/images/rakwireless-wisblock-inference-results.png?fit=max&auto=format&n=tNkJb9FywquQpS7r&q=85&s=aab3a4d77867f3657cbdfe2729ec5d29" width="523" height="275" data-path=".assets/images/rakwireless-wisblock-inference-results.png" />
</Frame>