I Challenged myself to work on 100 EmbeddedML projects based on Arduino NAno 33 BLE Sense and Edge Impulse in 2023
This repository contains a collection of 100 embedded ML projects developed using Arduino Nano 33 BLE Sense and Edge Impulse.
These projects range from simple to complex and cover various aspects of embedded machine learning. They leverage the capabilities of the Arduino Nano 33 BLE Sense board and the Edge Impulse platform for data collection, model training, and deployment on edge devices.
To get started with the projects, you will need:
- Arduino Nano 33 BLE Sense board
- Access to the Edge Impulse platform
- Arduino Web Editor as the compiler and development environment
Each project is organized in its own directory, containing the necessary code, configuration files, and any additional resources. The projects are designed to be self-contained and can be easily opened and compiled in the Arduino Web Editor.
We welcome contributions to this project! If you have ideas for new projects, improvements, or bug fixes, please feel free to contribute. Please refer to the Contribution Guidelines for more information.
This project is licensed under the MIT License.
If you have any questions, feedback, or need support, you can reach out to us at [email protected] or through the Issue Tracker.