Computational Dysmorphia: Facial Recognition Project

Computational Dysmorphia explores how digital environments and algorithms shape and distort self-perception. The project examines the disconnect between one's real identity and the version shaped by social media and algorithmic influence.

At its core is an interactive website that uses facial recognition to challenge users' perceptions of themselves. When users enable their camera, AI analyzes their face and attempts to "identify" them, highlighting the ways algorithms define us. The experience sparks reflection on identity in the digital age, offering educational resources on the topic.

Technically, the site runs on face-api.js, leveraging a ResNet34 model to analyze facial features and compare them to reference data. If a match is found, an identity is suggested—if not, the user remains "unknown," reinforcing the theme of algorithmic self-definition.

Github

https://github.com/elikemk/SeniorDesignProject

More about this Project:

https://elikemk.github.io/SeniorDesignProject/scripts/about.html

Resources:

https://elikemk.github.io/SeniorDesignProject/scripts/resources.html