iLook AI Tool Analyzes Facial Features While Staying Clear of Medical Claims

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iLook is a privacy-focused AI face-analysis tool that evaluates observable presentation signals such as face shape, facial symmetry, and Golden Ratio comparisons from user-submitted photos. The tool is deliberately scoped to avoid medical, identity, or personality diagnoses, framing all outputs as interpretations rather than authoritative conclusions. Its core web experience is free, allowing users to explore results before engaging with developer-facing features. Beyond the web interface, iLook offers REST, OpenAPI, MCP, and A2A interfaces to support consent-based integration into third-party workflows. The project emphasizes transparent design principles, including explicit user consent, clear output descriptions, and treating privacy as a core product requirement rather than an afterthought.

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Developer Fixes Broken Referral Program That Paid Out Nothing Due to Bad URL

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ProgrammingDEV Community ·

The true cost of building in-house AI answer tracking: a practical breakdown

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ProgrammingDEV Community ·

Orca ADE Lets Developers Run Multiple Coding Agents in Parallel via Git Worktrees

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ProgrammingDEV Community ·

Voice Cloning Industry Pushes for Portable, Verifiable Consent Standards

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