Dev.to
7/17/2026

The original headline is "I Built an AI Face-Analysis Suite From Scratch — Here's What I Learned"
Original: I Built an AI Face-Analysis Suite From Scratch — Here's What I Learned
Short summary
A developer describes building StarDoppel, an in-house AI face-analysis suite in Python that extracts facial landmarks, converts them to proportional measurements, and uses distance-based scoring for celebrity matching, face shape classification, symmetry testing, and age estimation. Key architectural decisions include no account requirements, immediate photo deletion after processing, and graceful handling of ambiguous multi-face inputs.
- •Built a full face-analysis suite from scratch using Python without third-party face recognition APIs
- •Pipeline: landmark detection → proportion extraction → distance scoring → ranking
- •Privacy-first design: stateless backend, no image persistence, photos deleted immediately after processing
Generated with AI, which can make mistakes.
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