Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'

Skin Tone Detector — AI-powered computer vision project that analyzes images to detect and classify human skin tones using image processing and machine learning.

A robust and dynamic skin tone detection system that leverages the strengths of both the Deepgaze library and Convolutional Neural Networks.

A FastAPI-powered machine learning project for detecting skin tones from images and recommending clothing colors using color theory.

This project aims to identify skin tone based on the Monk Skin Tone scale, using OpenCV for computer vision and MTCNN for face detection.

Full-stack AI styling assistant that analyzes facial landmarks and skin tone from user images to deliver personalized fashion, color palette, and grooming recommendations.