This article details the design of iLook, a privacy-focused browser tool for analyzing visible facial geometry in user-provided photos. The system prioritizes clear, understandable reports over identity inference or medical diagnosis, focusing on aspects like face-shape proportions, symmetry, and relative distances. It emphasizes a strict scope, a practical threat model, and an explainable response format that includes confidence levels and limitations, rather than just numeric scores. The design separates the transport layer (REST, OpenAPI) from the analysis model, allowing for flexible client integration and easier testing. AI
IMPACT Provides a framework for building privacy-conscious AI tools that prioritize user understanding and data boundaries.
RANK_REASON Article describes a specific tool and its technical design.
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