AI Music Recommender
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Generates personalized music playlists and recommendations by analyzing user listening patterns with AI-powered insights.
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AI Music Recommender is an intelligent system designed to create custom music playlists and recommendations tailored to individual user tastes. Leveraging Amazon Bedrock AI, it analyzes listening history to understand mood, genre, and unique patterns. Built on a scalable and fault-tolerant event-driven architecture, the system integrates with popular music services like Spotify and Apple Music, processing listening activity in real-time. It prioritizes cost-efficiency through smart AI model selection, ensuring personalized music experiences are both intelligent and economical.
Características Principales
- Real-time Music Analysis
- AI-Powered Insights (Amazon Bedrock)
- Personalized Playlists Generation
- Cost-Optimized AI Model Selection
- Event-Driven Architecture
- 0 GitHub stars
Casos de Uso
- Integrating AI-driven music recommendations into existing applications or services.
- Analyzing user listening patterns for mood, genre, and preference insights.
- Generating personalized music playlists based on listening history.
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