Development of a music player with artificial intelligence technology / by Krisha Camille N. Antiniolos and Mark Andrew D. Casumpang.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Indang, Cavite : 2015. Cavite State University- Main Campus,Description: xii, 75 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): DDC classification:
  • 786.7  An8 2015
Online resources: Production credits:
  • College of Engineering and Information Technology (CEIT)
Abstract: ANTIMOLOS, KRISHA CAMILLE N., CASUMPANG, MARK ANDREW D. Development of a Music Player with Artificial Intelligence Technology. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang Cavite. April 2015. Adviser: Ms. Ria Clarisse L. Mojica. The study was conducted at Cavite State University. The study aimed to produce a music player with artificial intelligence technology that suggests songs according to the user currently played song. A total of one hundred five respondents composed of students in different courses answered a 21 -item questionnaire to evaluate the software material. The study was carried out from January 2014 to March 2015. Software Development Methodology was used in completion of the study. The methodology consisted of planning, analyze, design module, system prototype and implementation phase. Statistical analysis was used. The developed music player can recommend list of songs depending on the users currently played based on genre, bpm and length of the music and the recommended songs can save as an automatic playlist. The player also displays ranking of the songs and count how many times the user played the song.
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Theses / Manuscripts Theses / Manuscripts Ladislao N. Diwa Memorial Library Theses Section Non-fiction 786.7 An8 2015 (Browse shelf(Opens below)) Link to resource Room use only T-6286 00009994

Thesis (Bachelor of Science in Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering and Information Technology (CEIT)

ANTIMOLOS, KRISHA CAMILLE N., CASUMPANG, MARK ANDREW D. Development of a Music Player with Artificial Intelligence Technology. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang Cavite. April 2015. Adviser: Ms. Ria Clarisse L. Mojica.

The study was conducted at Cavite State University. The study aimed to produce a music player with artificial intelligence technology that suggests songs according to the user currently played song. A total of one hundred five respondents composed of students in different courses answered a 21 -item questionnaire to evaluate the software material. The study was carried out from January 2014 to March 2015.

Software Development Methodology was used in completion of the study. The methodology consisted of planning, analyze, design module, system prototype and implementation phase. Statistical analysis was used. The developed music player can recommend list of songs depending on the users currently played based on genre, bpm and length of the music and the recommended songs can save as an automatic playlist. The player also displays ranking of the songs and count how many times the user played the song.

Submitted copy to the University Library. 02/14/2017 T-6286

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