About This Launch
iLook turns a user-provided photo into a clear, privacy-first face-analysis report. It explains face-shape context, symmetry signals, proportions, and Golden Ratio (phi) comparisons in plain language, while avoiding identity, biometric, medical, and sensitive-trait claims. Developers can explore structured REST/OpenAPI, MCP, and A2A surfaces for consent-based photo-analysis workflows.
Why I Built This
I built iLook to make visual face-analysis experiments easier to understand and safer to explore. The product combines plain-language explanations with developer-friendly interfaces so people can inspect visual geometry without turning the experience into an identity or medical claim.
Launch Details
CategoryAI / ML
StageLive
ListedSeptember 25, 2026