ChromaChords is an Arduino BLE project that leverages machine learning to recognize different music genres.

ChromaChords is an Arduino BLE project that leverages machine learning to recognize different music genres. By training the Arduino Nano 33 BLE Sense with the GTZAN dataset of audio samples, the system accurately classifies music into various genres in real-time.

Key Features:

• Audio genre recognition using Edge Impulse platform and TensorFlow
• Real-time genre classification on the Arduino BLE Sense device
• Diverse dataset for comprehensive coverage of music genres
• Easy-to-use interface for seamless interaction

Tech Stack: Arduino, Edge Impulse, TensorFlow, C++

Installation and Setup: Detailed instructions for installing and setting up the project locally or web-based can be found here: https://docs.edgeimpulse.com/docs/deployment/running-your-impulse-locally. You can alternatively clone the project here at the EdgeImpulse project page: https://studio.edgeimpulse.com/public/251605/latest

Usage: Users can upload music samples or stream audio to the Arduino BLE Sense to get instant genre recognition.

Demo: Check out our live demo at [demo.link] to see ChromaChords in action.

Contributing: We welcome contributions from the community. Please read our CONTRIBUTING.md for guidelines on how to contribute.

License: ChromaChords is released under the MIT License. See LICENSE for more details.

Contact: For questions or feedback, feel free to reach out to me: [email protected]