Personalized mood-enhancing music player / Alaa Al Samman , Ayoub Alkak , Hamza Ghraoui and Meriam Marany ; Supervised by Ubai Sandok and Waed khwies علاء السمان ، أيوب اياد القاق ، حمزة غراوي و مريام يعقوب مراني ؛ إشراف أبي صندوق و وعد خويص
Publication year: 2023
ISBN: CCE00079
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Our proposed application, the "MELAI Music Player," utilizes advanced AI techniques for accurate emotion detection. The MELAI Music Player employs facial recognition technology with an impressive face emotion recognition accuracy of 82.56%. This enables the application to analyze the emotions displayed by a person's facial expressions, providing a more comprehensive understanding of the user's current mood. Furthermore, the application utilizes sophisticated music emotion recognition techniques, including melody detection with an accuracy of 79.12%. This helps to identify the emotions conveyed by the song's rhythm, tempo, and melody, and analyze how they impact the user's mood.
Subject: Computer sceince, Music, Current mood, Mood detection, Facial expression recognition, Music emotion recognition, Lyrics, Melody, Enhance mood, Personalized, Music recommendation system
