date. 2022 August- 2023 May
city. Boulder, Colorado
team. Alexander Chan, Areeb Rohilla, Levi Eirinberg
Software used: Figma, Processing, P5.js, Notion, Javascript, Adobe Photoshop, Adobe Illustrator, Adobe XD, Adobe After Effects, Printful, Deezer, Webflow
We’re creating a web application that transforms audio data to wearable art
Abstract visions purpose is to allow the user to pick a song of choice which generates a piece of art based off the frequency, amplitude and bass of the song. This data is then read and creates a form of generative art. Once this art is fully created it, the user can then order the art piece in a form of a t-shirt.
Every song is only 30 seconds long, which is the most famous parts of the song or most played.
Logo branding designs
Logomark and logotype on inside shirt
Logo type
Logomark on hem tag
Alternative Logomark
Main logomark
Different logo variants
Prototype Testing
Generative Art Based Off Of Sound Input
This code demonstration below is using processing to code the sound of a users microphone to produce these lines that look like scribbles with blotches of black. So the user can visualize the sound with the art.
This code is using processing to take in the sound of a users microphone to produce these lines vary on the frequency as well with a different set of colors going left to right.
Variations of designs for t-shirts
Various Figma mockups
Process of our work
For full documentation and process feel free to contact me for permissions
12 Weeks of full Documentation