An AI-powered playlist generator that uses the Spotify API and machine learning to analyze a large list of songs and create smaller, cohesive playlists based on song compatibility.
- Features
- Technologies //TO BE UPDATED
- Setup //TO BE ADDED
- Usage //TO BE ADDED
- Contributing ?? (maybe get rid of this)
- License
- Spotify API Integration: Fetch a list of songs and metadata.
- Machine Learning Algorithms: Group songs based on features such as tempo, energy, key, and mood.
- Custom Playlist Creation: Automatically generates smaller, themed playlists from large song collections.
- Scalable: Can process playlists of various sizes efficiently.
- Python: Core programming language.
- Spotify API: To retrieve song metadata.
- Machine Learning (scikit-learn or TensorFlow): For clustering and grouping songs.
- Flask (optional): For creating a simple web interface.
- Docker (optional): To containerize the application for easy deployment.
- Fetch Songs: The app fetches a list of songs from a Spotify playlist using the Spotify API.
- Analyze Songs: The machine learning model analyzes song features (tempo, energy, etc.).
- Generate Playlists: The app generates smaller playlists that group songs based on similarity.
- Export: Save the playlists or export them back to Spotify.
This project is licensed under the MIT License - see the LICENSE file for details.