amamenko/GlowLabs

MERN stack application for appointment booking and employee/client management

⭐ 126 | 🍴 57

LauraAddams/skincareAPI

An api of over 2,000 popular skincare products in the US, Korea, and Japan. Users can search by brand, product name, or any ingredient and receive a list of products matching. User can also add to the database or paginate their results. Made with Ruby on rails as part of the Capstone for Ada Developers Academy.

⭐ 122 | 🍴 29

Randon-Myntra-HackerRamp-21/Skyn

An application that recommends personalised skincare and makeup products based on the skin metrics inferred from user's selfie using computer vision algorithms.

⭐ 90 | 🍴 28

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.

⭐ 78 | 🍴 30