Abstract
Abstract: The proposed Face Melody analyzes the user’s facia l expressions in real time. Through the user’s webcam, the system captures emotional cues, such as joy, sadness, or excitement, and processes this data to understand the user’s current mood. Face Melody leverages a sophisticated recommendation engine that correlates the detected mood with a vast music database, ensuring that the music selection aligns with the user’s emotional context. The recommendation engine considers a variety of factors, including tempo, genre, lyrics, and historical preferences to provide a personalized and emotionally resonant playlist. The system also adapts in real-time, allowing users to change their music selection as their mood evolves. Whether a user is looking to lift their spirits, relax, or reflect, face Melody is designed to cater to these emotional shifts
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