SkinDeep
SkinDeep is a bias-free dermatology triage tool built at a hackathon. It addresses health equity by using a diverse skin-type dataset (Fitzpatrick 17k) to reduce racial bias in AI dermatology. Features lighting quality checks, confidence scoring, and community image donation for fairer model training.
Tech Stack
Fast, responsive web interface
Core backend and ML pipeline
Data handling for Fitzpatrick 17k dataset
Transfer learning with EfficientNet for skin lesion classification
Image processing and histogram analysis for lighting checks
Key Features
Skin condition recognition trained on diverse skin types
Lighting quality check for accurate diagnosis on darker skin
Transparent confidence scoring
Community image donation for fairer AI training
Built and deployed within 36-hour hackathon