skin-analysis

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.

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

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.

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

Webcam-based facial skin analyzer that scores 10 conditions (Hydration, Blemish, Wrinkles, Oiliness, Dark Circles, etc.) using Vision Transformer models from HuggingFace plus OpenCV-based heuristics. Inspired by Cetaphil MySkin.

A real-time AI-based Aesthetic Skin Analyzer built with Python and OpenCV. Features spot detection via HSV color masking and skin texture analysis using Laplacian variance.

A robust backend system for e-commerce cosmetics platforms, integrated with AI-driven skin analysis, personalized product recommendations, and automated skincare routine generation

AI facial-harmony & skin-analysis mirror that runs 100% in your browser. MediaPipe FaceMesh + CIELAB/ITA color science. Photos never leave your device.

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

Flask‑based web app for detecting facial/skin anomalies and returning a matched condition label with supplement info. Upload an image, run the model, and get a result page with the predicted condition.

Beauty, aloud. Voice-first skincare assistant for blind and low-vision shoppers. YouCam Skin AI hackathon.

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

AI skin type analysis using OpenCV face scanning

Full-stack facial health analysis app — captures a live webcam frame and analyzes skin redness, pimple detection, eye droopiness, and intoxication signals using MediaPipe FaceMesh and OpenCV.

AI-powered skin analysis system that detects skin conditions and provides personalized skincare recommendations using deep learning.

AI-assisted cosmetic skin analysis and personalized skincare 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.

AI-powered personalized skincare coach for skin analysis, adaptive routines, ingredient intelligence, and progress tracking.

Official TypeScript/JavaScript SDK for NostraHealthAI Medical AI Platform