J.CHILLIN MUSIC TRANSCENDER

Interactive Music Visualizer

GITHUB

Project

Song Input

INPUT (CONTENT)

Just enter any song name through the terminal to start!

Similar Song Generation

OUTPUT (CONTENT)

Our program will find and return a song similar to yours based on an analysis of various musical elements.

Audio Analysis

OUTPUT (CONTENT)

A side-by-side comparision is made to track the elements of your inputted song and its output. General information is displayed including artist and album name, but the most exciting part is that it includes qualities like danceability and vibe rating! These displayed track elements are also color coded based on the output.

BPM Art

OUTPUT (VISUAL)

Using BPM as an input for RGB values, we created an art visualizer! The more aggressive the strobing art is, the higher the BPM -- indicating the intensity of the song both numerically and visually.

Interactive Background

INPUT (VISUAL)

Want to control the visuals in the background? You can! Using the spacebar, you can add moving vinyl to the program.

Idea

UML + CONTENT DRAFTING

Back End

ELEMENT DRAFTING + VISUAL MOCKUP

Front End

Process

So how does it work? J.Chillin Music Transcender utilizes a wide range of data sources and python packages.

Spotify API · Data source used to get track information and audio analysis
lyricfreak.com · Data source used to generate a similar song to the input
pygame · Python module used for front end visuals
bs4 · Python library used for HTML data scraping
spotipy · Python library used to access features for the Spotify Web API

TEAM

Annie Chu

Front End + Back End Integraton

Focused on bridging the information extracted from the Spotify API and the visual components of the program.

Favorite Genre: Jazz Rap
Nick Bourdon

Data Mining + Composition

Focused on text mining from the website databases, allowing for the critical feature of similar song generation.