Label Logic
AI-powered clothing label analyzer delivering plain-language fabric and care instructions.
Label Logic turns the cryptic glyphs and shorthand on a care label into plain language — what the garment is made of, how to wash it, and how sustainable that fiber really is.
- Role
- Co-Builder
- Timeline
- 2026
- Stack
- Lovable, TypeScript, Applied AI
- Status
- Built (AI 401, UTK)
Care labels are cryptic. Most people can't read fabric symbols or know what a 60% acrylic / 40% polyester blend means for the planet — or their laundry.
Build
story.
Co-built a web app that analyzes care labels with AI, with a focus on turning a noisy photo of a tag into a clear, structured answer.
Label capture flow
Designed the core classification logic, evaluating fiber content, care symbols, and sustainability signals into a structured output score.
Analysis output
Wrote a custom TypeScript scoring engine to weight materials and care requirements into a single, defensible care + sustainability grade.
Sustainability score
A working app that turns confusing labels into plain-language fabric and care guidance — built and shipped as part of AI 401 at UTK.
1
Photo to plain English
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