THE LAST PHONE
A REFLECTIVE JOURNEY IN DESIGNING YOUR MOBILE DEVICE
The Last Phone is an interactive experience that utilises computer vision and stable diffusion to visualize the environmental degradation caused by smartphone production. Users place plywood components under a Raspberry Pi camera, which generates images of the ecological impact of critical minerals like lithium and cobalt.
This project raises awareness about the hidden environmental toll of modern technology and promotes sustainable consumption. It stands out by transforming abstract data into tangible visuals, offering a compelling and emotional call to action for climate awareness and responsible tech use.
Grant Credit: This project was supported in part from the Carnegie Mellon Frank-Ratchye Further Fund.
Project Type
AI/ML Experiment
Skills
Research, Testing, Rapid Prototyping, Coding (Python), Computer-Vision, Machine Learning, Laser Cutting, Interaction Design
AI/ML Experiment
Skills
Research, Testing, Rapid Prototyping, Coding (Python), Computer-Vision, Machine Learning, Laser Cutting, Interaction Design
Role
UX Researcher, UX Designer
Tools
Raspberry Pi 5, Google’s Teachable Machine, Sketch-a-Sketch (Stable Diffusion), Figma, ChatGPT 4, Adobe CC
UX Researcher, UX Designer
Tools
Raspberry Pi 5, Google’s Teachable Machine, Sketch-a-Sketch (Stable Diffusion), Figma, ChatGPT 4, Adobe CC
Team
Audrea Guo, Eldar Gilmanov, Deeya Parikh
Year/Duration
Spring 2024, 6 weeks
Audrea Guo, Eldar Gilmanov, Deeya Parikh
Year/Duration
Spring 2024, 6 weeks
View Process ︎︎︎
