Acne Detection & Severity Grading — Dermatology AI

Built a production computer vision system for automated acne detection and severity classification from facial images. The model localises individual lesion types (papules, pustules, comedones) and outputs a structured severity score used directly in consumer-facing skincare recommendations. Deployed at scale within clients AI platform, serving millions of end-user sessions across global beauty retail partners.

Tools & Architecture Used:
 - Python
 - Opencv
 - Tensorflow Keras
 - Yolo Architecture
 - Optimised model for performance
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