Label Logic
Care labels are cryptic. Label Logic translates them into plain English.
Label Logic is an AI-powered web app that reads clothing care labels and turns confusing symbols and fabric codes into plain-language instructions anyone can understand. Built for a real gap: most people have no idea what half the symbols on their clothes mean.
- Role
- Co-Builder
- Timeline
- 2026
- Stack
- Lovable, TypeScript, Applied AI
- Status
- Built (AI 401, UTK)
Care labels are written for compliance, not people. Most consumers cannot read fabric composition codes or decode care symbols, which leads to ruined clothes and wasted money.
Build
story.
Co-built the web app in Lovable with a custom TypeScript scoring engine.
Designed and implemented the core classification logic that evaluates fiber content, care symbols, and sustainability signals and outputs a structured, readable score.
Working app that turns any care label into plain-language fabric and care guidance. Built for AI 401: Applied AI in Research Applications at UTK.
TypeScript
Scoring Engine
AI-Powered
Classification
UTK 2026
AI 401
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