Fashion Recommendation System

Analyzes fashion images using CLIP to extract clothing attributes like style, color, and fabric, then generates personalized recommendations based on detected tags and user behavior.

FastMCP_RecSys is a clothing recommendation system that uses CLIP (Contrastive Language-Image Pretraining) to analyze and classify fashion images. Built with a FastAPI backend and React frontend, it extracts clothing attributes like style, color, and fabric from uploaded images, then generates personalized recommendations based on detected tags and user behavior. The system stores clothing items and their metadata in MongoDB, making it particularly useful for e-commerce platforms seeking to enhance user experience through AI-powered fashion recommendations.