• siddiqui adaab husain
• Shaikh Danish Khalid
• Ali Mo Salman
• Mohanish Rajak
• Shaikh Mohd. Ashfaque

: Most of the time when we listen to music on the radio or on our portable devices, the order in which the tracks are played is governed by so-called playlists. These playlists are sequences of tracks that are traditionally designed manually and whose organization is based on some underlying logic or theme. With the digitalization of music and the availability of various types of additional track-related information on the Web, new opportunities emerged how to automate the playlist creation process. Correspondingly, several proposals for automated playlist generation have been made in the literature during the last decade. These approaches vary both concerning which kind of data they rely on and which types of algorithms they use. In this paper, we review the literature on automated playlist generation and categorize the existing approaches. Furthermore, we discuss the evaluation designs that are used today in research to assess the quality of the generated playlists. Finally, we report the results of a comparative evaluation of typical playlist generation schemes based on historical data. Our results show that track and artist popularity can play a dominant role and that additional measures are required to better characterize and compare the quality of automatically generated playlists. Following are the languages used in this project: - HTML, CSS , JavaScript, SQL, PHP.

music, music player, database,drumkit

"Research paper on apollo music player(jetir)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g163-g171, April-2022, Available :http://www.jetir.org/papers/JETIR2204624.pdf

"Research paper on apollo music player(jetir)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg163-g171, April-2022, Available at : http://www.jetir.org/papers/JETIR2204624.pdf