A profile you create once.
Store body measurements and fit preferences once, then reuse the same profile across products.
Body measurements · fit preferencesFitFabric
Designing an AI-assisted system for garment understanding and fit reasoning.
FitFabric explores how garment evidence, body measurements and fit preferences can produce a more understandable recommendation without hiding uncertainty.
Product direction, garment reasoning, interface and prototype
iOS + API
Working research prototype
Fit decision and garment understanding
Start with the product.
Begin from a product image, link or size chart. Manual input remains available when the page cannot provide enough evidence.
Image · link · size chartTurn scattered information into evidence.
FitFabric organizes garment details, size-chart information and unresolved questions before making a recommendation.
Demo footage coming nextA recommendation with reasons.
The result explains the suggested size, relevant garment evidence, possible fit risks and what remains unknown.
Result footage coming nextEvidence before confidence.
Body profile, garment evidence and size-chart information come together as confirmed facts, observations, inferences and unknowns.
Body profile
Garment evidence
Size chart
Recommendation / Risks / Unknowns
Why FitFabric works
Built to explain,
not just to answer.
Reusable profile
Create measurements and fit preferences once, then reuse them across products.
Less manual comparison
Organize product and size-chart evidence without requiring users to interpret every chart themselves.
Explainable recommendation
Show not only a suggested size, but also the evidence and fit reasoning behind it.
Honest uncertainty
Separate confirmed information, observation, inference and unknowns. The final decision remains with the wearer.
What I contributed
Six things,
end to end.
- Product direction and scope
- Garment reasoning model
- User flow and interface design
- AI-assisted evidence workflow
- iOS and API prototype
- Testing and verification