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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41181
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Moodify is an innovative system that enhances the experience of listening to music using facial expression recognition, which dynamically selects and adapts music playlists based on the user’s emotions. Built on a Spotify-like music selection platform, this system integrates facial expression detection technology with a robust music recommendation engine. It analyzes facial cues such as happiness, sadness, anger, or calmness, Moodify identifies the user’s mood in real time and recommends suitable music to enhance or match it. The application uses to translate facial expressions via a webcam or mobile camera and connects with a music database to curate playlists for the user. The recommendation system is designed to be adaptive, learning the user preferences over time, and adjusting selections to create a highly personalized and emotive experience
KEYWORDS
Publication Date
6/25/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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