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NeptuneHub’s AudioMuse-AI: Harnessing Librosa and TensorFlow for Enhanced Sonic Analysis, Discovering Similar Songs and Curating Smart Playlists in Jellyfin and Navidrome APIs

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Discover the Future of Music with AudioMuse-AI

AudioMuse-AI is an innovative open-source project designed to revolutionize how you experience your music library through smart playlist generation. Leveraging advanced sonic analysis and AI models, this powerful tool is ideal for AI & Tech enthusiasts looking for an engaging audio experience.

Key Features:

  • Smart Playlist Generation: Automates playlist creation using audio analysis from Librosa and TensorFlow.
  • Multiple Deployment Options: Easily deploy locally or on Kubernetes clusters with Docker support.
  • Advanced Clustering: Utilizes K-Means and GMM algorithms for enhanced playlist organization.
  • AI Integration: Optionally use Ollama or Google Gemini for creative playlist naming.
  • Personalized Music Experience: Features like Sonic Fingerprint and Instant Playlist generation.

Important Notes:

  • Beta Release: This is a BETA project; it is open for testing but not recommended for production environments.
  • Community-Driven: We’re independent and eager to grow through contributions and feedback.

💡 Join us in reshaping your music experience! Explore AudioMuse-AI today and share your thoughts. Let’s innovate music listening together!

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