MERN stack application for appointment booking and employee/client management
Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.
An AI-powered solution that predicts skin type and concerns using deep learning and recommends skincare products through content-based filtering. Built with PyTorch, Streamlit, and Scikit-learn. Upload an image and get personalized product suggestions!
Radiant is a skincare routine and tracker application built with Flask and React.
skinsforskin is a React-based web app that transforms skincare with personalized suggestions via OpenAI API and ingredient analysis for products.
A comprehensive multi-step form application that helps users create personalized skincare routines based on their skin type, goals, and preferences. Built with React, Zustand, FastAPI, and Docker.
💄 BeautyHub – Your online destination for cosmetics, skincare, and personal care products! Explore top-quality products, latest beauty trends, and exclusive offers directly in your browser. 🌸🛍️ Shop easily with fast, secure, and convenient online ordering. 🚀💳
iOS app for young men to get personalized skincare ingredients, products and routines recommendation that suits their skin condition, track their facial progress through photos and daily skin log.
A web-hosted skincare routine maker for Korean Skincare & Beauty brand: Innisfree.
An intelligent iOS skincare analysis and recommendation app powered by AI, offering personalized skincare routines through advanced computer vision and machine learning capabilities.
An e-commerce project mainly for skincare products. This repo contains the entire project, frontend using react.js, Node backend and the admin-panel (react.js) for managing the shop.
Comprehensive, multi-source skincare and cosmetic formulation database unifying 19,846 products, 43,097 canonical INCI compounds, 5,994 brands, 319,989 composition mappings
Skin Care Ingredients is a simple app that stores information about ingredients used in skincare products, explaining which skin types they are suitable for, and which ingredients are healthy or not when used in combination.
A comprehensive Deep Learning and NLP based Skin Lesion Classifier which takes a skin lesion image as an input and classifies into one of the seven classes using DL and NLP techniques
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