Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.
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Updated
May 16, 2025 - Python
Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.
Radiant is a skincare routine and tracker application built with Flask and React.
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!
Application for users to search products for pore-clogging ingredients or to paste their own set of ingredients to check for pore-cloggers
Generating an infographic PDF displaying a reviews age distribution chart and best/least performing products for luxury skincare brand La Mer 📊
Skin condition prediction and product recommendation: Multi head CNN with ResNet approach giving more than 90 % accuracy in prediction.
# Ingredient List Comparator **Written by Lily Gates** ## Description This script compares the ingredient lists of two products entered via the command line. It identifies unique ingredients for each product as well as shared or similar ingredients. Similar ingredients are defined as those derived from the same base component but appearing i
My Beauty AI는 사용자의 기존 사용 제품을 기반으로 최적화된 스킨케어 루틴을 제공하는 AI 뷰티 솔루션입니다.
Découvrir les indicateurs de performance liés aux avis d'un sérum très réputé de la marque de beauté luxe japonaise Shiseido. Cette comparaison concerne les sites web USA et FR 💯
Compare and visualize ingredient lists from two products. Identify unique, shared, and chemically similar ingredients with positional insights. Outputs include tables and rich visualizations. Future plans include a GUI and OCR integration.
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