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GitHub Repo https://github.com/Ankit-RV/Salon-Skin-Care-An-AI-Based-Skin-Analysis-Tool

Ankit-RV/Salon-Skin-Care-An-AI-Based-Skin-Analysis-Tool

This is an AI-based skin analysis tool developed for a salon. It can detect three different skin conditions: acne, oiliness, and the need for UV protection. This model is built using machine learning techniques and trained on a dataset of skin images.
GitHub Repo https://github.com/tugane/React-Native-skin-care-app

tugane/React-Native-skin-care-app

React native skincare app
GitHub Repo https://github.com/TaskLanceAI/AI-ML-powered-SkinCare-Recommender

TaskLanceAI/AI-ML-powered-SkinCare-Recommender

Create Personalized skincare recommendations powered by AI and Machine Learning based on consumer unique skin needs, and to equip beauty brands with a new way to enhance their customer experiences and drive sales and recommend tailored skincare solutions.
GitHub Repo https://github.com/lihansunbai/Carefree

lihansunbai/Carefree

An elegant Potplayer skin
GitHub Repo https://github.com/nehakalbande/skinmitra

nehakalbande/skinmitra

Skinmitra is a skincare application which helps physicians, radiologists and patients in preliminary assessments of skin related diseases along with providing a daily feed of skin care routines.
GitHub Repo https://github.com/stormyvikrant/ProjectSkinStore

stormyvikrant/ProjectSkinStore

It's an e-Commerce website for Buy Women's Grooming, Hair & Skin Care & Wellness Products Online in India from Skin Store.
GitHub Repo https://github.com/Shrutigupta03/DermCareSolutions

Shrutigupta03/DermCareSolutions

Project for skin disease detection.
GitHub Repo https://github.com/malinda-lin/RainbowBunnies

malinda-lin/RainbowBunnies

skin care, self care hack
GitHub Repo https://github.com/Yunanouv/Skin-Care-Recommender-System

Yunanouv/Skin-Care-Recommender-System

Skin Care Recommender System Based on Skin Problems Using Content-Based Filtering
GitHub Repo https://github.com/vinit714/A-Recommendation-system-for-Facial-Skin-Care-using-Machine-Learning-Models

vinit714/A-Recommendation-system-for-Facial-Skin-Care-using-Machine-Learning-Models

Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.