Abstract: The rapidly evolving fashion industry demands intelligent and personalized recommendation systems to enhance user experiences and promote e-commerce growth. This paper proposes an AI-Based Fashion Recommendation System that utilizes Machine Learning (ML) and Deep Learning (DL) techniques to deliver customized clothing and accessory suggestions. The system is composed of three modules: Admin, User, and Retailer. Through Convolutional Neural Networks (CNNs), clustering algorithms, and behavioral analytics, the platform enhances fashion product discovery, addresses cold start problems, and improves customer engagement.
Keywords: Fashion Recommendation System, Convolutional Neural Network, Machine Learning, Deep Learning, Visual Search, Personalization, E-Commerce.
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