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@article{143701,
        author = {Yash Bagadia and Parul Tambe and Tahir Khalil and Noorulain Shaikh , Prof. L.J.Sankpal},
        title = {Advanced Music Player With Integrated Face Recognition Mechanism},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {1},
        pages = {8-11},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143701},
        abstract = {Music is naturally interlaced with our day to day life. People tend to use music in the morning to smoothly complete their chores, to let loose after work and to make it through a training time.Students use music while learning and surgeons with music in the background perform their most intensive procedures. Basically, people use music to improve their mood. 
Positive condition of mind increases power of invention, improves decision making process, and strengthens social relationships. Moreover, positive state of mind lightens us from the stress, which can otherwise have a damaging effect on our health and well-being. 
The idea is to automate the interactions between the users and music player, so as to provide a user-friendly environment. This project introduces a music player which learns all the preferences, emotions and activities of a user and customizes its song selection accordingly. The various facial expressions of users can be recorded by the gadget to determine the emotion of the user at that instance so as to predict the genre of the music.},
        keywords = {Snapdragon Processor, Face Recognition, Music Player, mood, AMPs},
        month = {},
        }