Abstract: This project presents LuxeVogue, an AI-powered web application that provides personalized fashion recommendations based on users’ physical features. Utilizing computer vision techniques, the system analyzes uploaded images to detect skin tone and estimate body shape through keypoint detection. The skin tone is mapped to seasonal color palettes, while body measurements are used to classify body shape into categories such as hourglass, pear, rectangle, or inverted triangle. Based on these attributes and the current season, the application suggests tailored clothing and accessory styles, enhancing the user’s fashion experience. Built using Streamlit, OpenCV, and Detectron2, the system also integrates a chatbot via IBM Watson for interactive user support. This project demonstrates the potential of combining AI and fashion for intelligent style guidance.
IndexTerms: LuxeVogue, Fashion recommendation system, Skin tone detection, Body shape detection, Computer vision, OpenCV, Detectron2, Augmented Reality (AR)
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DOI:
10.17148/IJARCCE.2025.14446
