Cross-platform mobile app that detects facial skin type and conditions using AI. Recommends skincare products based on skin profile and allergies. React Native frontend, Flask backend, MongoDB database, OpenCV face detection, and CNN-based diagnosis. Includes lifestyle and product suggestions.

Web-demo-Skin-Analysis is a facial skin analysis project focusing on three key concerns: pigmentation, wrinkles, and pores. It utilizes U-Net++ and YOLOv8 for segmentation, MobileNetV2 and ResNet152 for classification, and YOLOv5Face for face detection. The web application is built with Flask.

A hackathon-winning AI system for personalized skincare recommendations, built at YCP Hacks '24

Automated tool for converting skin classification datasets into background-free skin segmentation datasets. Supports face and non-face skin images.

AI-powered smart mirror for real-time skin analysis, face validation, and dermatologist-style guidance.

DermaLens is an intelligent mobile application designed to help users analyze their skin condition and receive personalized skincare recommendations. Leveraging advanced image processing and AI technologies, DermaLens provides accurate skin analysis, tracks skin health progress, and connects users with dermatology experts for professional advice.

Enhance your web applications with advanced Augmented Reality (AR) features using the GlamAR SDK.

얼굴 정렬·파싱 후 주름/모공/홍조 3채널 조건지도(heatmaps + .npy)를 만들어 cGAN 학습에 쓰는 파이프라인. (Face parsing + skin-condition maps (redness/wrinkle/pore) pipeline for conditional GAN training.)

🧴 Detect facial skin types and conditions using AI, then receive tailored skincare product suggestions and lifestyle tips for healthier skin.