Request: Mood-Based Music Playlist Agent

Project Request: Mood-Based Music Playlist Agent

Category: Entertainment / Music Suggested Framework: Agno or CrewAI

Description: An AI agent that generates personalized music playlists based on the user's current mood, activity, time of day, and context. The user describes how they're feeling or what they're doing (e.g., "feeling chill after a long day" or "need energy for a workout"), and the agent curates a playlist with song recommendations, genres, and optional Spotify/YouTube links.

Expected Features:

• Natural language mood input (e.g., "I'm feeling nostalgic", "pumped up for gym")
• Considers context like time of day, weather, or activity
• Generates a playlist with song titles, artists, and genres
• Supports multiple music tastes and languages
• Optionally integrates with Spotify or YouTube Music APIs for direct links
• Learns preferences over multiple sessions

Use Case: Anyone who wants a quick, mood-matched playlist without manually browsing through music apps. Useful for studying, working out, relaxing, commuting, or setting the vibe for any occasion.

Why this is different from existing agents: The repo currently has no music or mood-based recommendation agent. This fills a gap in the Entertainment category and introduces an emotion-driven AI use case.