Mood Playlist
Generates sentiment-based music playlists by analyzing user queries with AI and integrating with the Last.fm API.
About
This tool operates as an MCP server designed to create personalized music playlists based on a user's mood. It leverages advanced AI sentiment analysis, including Hugging Face transformers, to understand emotions expressed through natural language, emojis, and specific preferences, supporting multiple languages. The server then utilizes Last.fm's extensive music database to curate relevant tracks, providing convenient links to popular streaming platforms like Spotify, Apple Music, and YouTube.
Key Features
- AI-Powered Mood Analysis using Hugging Face transformers
- Smart Playlist Generation with Last.fm's music database
- Multi-language Support (Hindi, English, Punjabi, Bengali, Tamil, etc.)
- Platform Integration with links for Spotify, Apple Music, YouTube, and Last.fm
- Emoji Understanding for enhanced mood detection
- 0 GitHub stars
Use Cases
- Generate personalized mood-based playlists for any occasion
- Analyze sentiment and emotions from text queries
- Integrate a mood-based playlist generation service into other applications via API
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