Artificial intelligence (AI) is being incorporated into the fashion industry at a rapid pace to offer individualized recommendations based on personal preferences. In order to improve user experience, this paper introduces an AI-powered fashion recommendation system that makes use of computer vision, machine learning, and natural language processing. The system considers important variables like skin tone, body measurements, and the kind of event to recommend the best outfits. Users can preview outfits before buying them thanks to a virtual try-on feature that uses avatar-based visualization, doing away with the need for in-person trials. The system also uses realtime inventory tracking and web scraping to suggest clothing that is in stock at several different stores. The system improves accuracy and user satisfaction by using deep learning models for fit prediction, style classification, and color analysis. This AI stratergy seeks to revolutionize the online shopping experience by providing intelligent, data-driven, and highly personalized fashion suggestions.