Face Attribute Analyzer

A modular computer vision component for virtual trial rooms, estimating age, gender, race, and skin tone from facial images.

The Challenge

Deliver a plug-and-play module for client integration, without access to their internal validation or deployment pipeline.

Key Decisions & Tradeoffs

• Pre-trained model reuse: leveraged an existing CV model but extended its output to include skin tone and confidence scores not in the original API.
• Local inference server: wrapped the model in a lightweight Python HTTP server for easy client-side integration.
• Stateless design: no persistent storage; each request processed independently for scalability.

Outcome

Delivered a standalone, client-ready module that required zero backend changes, enabling seamless integration into the client's virtual trial room application.