Music Application Using Artificial Intelligence

EasyChair Preprint no. 5300

Abstract

The purpose of this document is to present a detailed description of the Recommended System that we will design and implement. It will explain the purpose and features of the system, the interfaces of the system, what the system will do, the constraints under which it must operate This app\website is intended for both the stakeholders and the developers of the system. The corresponding environments that this project will be integrated to are supposed to and probably will have a large number and variety of users. The users may or may not be aware of their need for a recommendation feature on the software or website they are using, but such features can increase efficiency and save time to users, while they are looking in a place where there is a large number and variety of content which causes them to waste a lot of time to find what they need and from another point of view, there might be users that don’t exactly know what they are looking for and such situations can also make a useful solution out of this project. In order to solve the problem of complex functions and large required of music player on the current market, a new music player of simple, convenient, less required memory as well as user-friendly is developed. Based on the Android technology, using the Java and HTML language and Android Development tools lead to design and coding of music player. The goal is to design a recommended system on music domain.

Keyphrases: Blow Your Own Perfect Trumpet., Call the tune, Not Over Till the Fat Lady Sings.

@Booklet{EasyChair:5300,
  author = {Preet Sindhu Katiyar and Paras Jain and Rajshree Gupta},
  title = {Music Application Using Artificial Intelligence},
  howpublished = {EasyChair Preprint no. 5300},

  year = {EasyChair, 2021}}