EasySet: Plataforma Web para Auxílio na Montagem de Sets Harmônicos de Músicas Eletrônicas do Gênero Psytrance

Abstract

In the electronic music DJing field, it is essential for DJs to have a good listening experience, knowing their music repertoire, selecting and fitting them in a way that the transition between them does not cause unwanted dissonance. This work deals with the project and implementation of the EasySet application, which aims to deliver to the user a table with metadata of songs belonging to branches of the psytrance genre, organized in a way that, during DJing, the transition from any song to its successor is as harmonic as possible, using the algorithm present in the Camelot Wheel. The solution was developed using the Web Scraping technique for data acquisition, and the following Web development technologies: Angular library for user interaction layer, PostgreSQL for data storage, and Java with the Spring framework for the application's back-end. The EasySet platform presented a simple and practical interface, with concise instructions for assembling a harmonic set. Despite the challenges related to the divergence in metadata from the sources where the application data was acquired, EasySet managed to deliver sets with sequences of songs where the Camelot Wheel algorithm was applied, providing a basis for harmonic mixing.