Home Project ExperimentAbout
The Unarchivable Web
Goldsmiths Computing Department Official Social Media Repost
Web: https://the-unarchivable-git-main-jennieyus-projects.vercel.app/index.html
The Unarchivable Web
2025
Website Design&Build
m
The_Unarchivable is a machine learning art project that aims to reframe urban pigeons as political subjects through the lens of machine recognition by artist Yummy Zhang. The original site builder simplifies the process of creating a public website within the existing framework and using the current template. However, it isn't easy to modify the content and create responsive interaction, even to add the camera function.
To enhance the user experience of browsing the project website and clarify the nature of the art project, I redesigned and rebuilt the website using HTML, CSS, and JavaScript.
A key feature is the integration of the ml5.js library to enable real-time face detection, creating a unique and dynamic user interaction with the archived content. This project demonstrates end-to-end execution, from UI/UX redesign to front-end development and the implementation of machine learning functionalities.
Design: Figma
Website: HTML, CSS, JavaScript
Face Detection:
ml5.js, cursor
Deploy: Github, Vercel
sketch
figma