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• Create Date 18 May 2023
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EMOTIFY–Emotion Based Music Player

Manvith Shetty, Mohammed Zaahid Umer, Nihal Kunder, Ahamed
A J Institute of Engineering and Technology, Mangalore

Mrs. Sharanya P. S
(Project Guide)

Professor, Department of Information Science and Engineering, A J Institute of Engineering and Technology, Mangalore

Email: sharanya@ajiet.edu.in

ABSTRACT
Emotify is a computer program targeted towards music lovers in particular. Most individuals choose to play the playlist's songs at random because choosing music might be difficult. Some of the songs chosen as a result didn't reflect the users' present mood. A popular music player that can play songs based on the user's emotions doesn't exist, either. The suggested model can identify the user's emotion by extracting the user's facial expression. The songs in the suggested model will then be played by the music player based on the type of emotion identified. It aims to provide music enthusiasts more ways to enjoy music. The proposed model covers a range of emotions, including normal, sad, surprised, and happy. The system uses advanced facial recognition and picture processing technology. The music player will automatically create a playlist based on one facial expression that is then extracted, reducing the need for human intervention. the time and energy required to do the task manually. As a result, our suggested method will tend to shorten the time required for processing in order to determine the total cost and outcome of our created system, while also improving the system's general accuracy. Datasets that are user dependent and are used to test this system. The system's built-in camera is used to record our facial expressions. Since only one emotion-based music playlist needs to be created or generated, the suggested algorithm will do it quickly.