Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{190108,
        author = {Mangalge Shraddha Arun and Mane Tanuja and Bhadre Snehal and Dr.Prof.A.A.Patil},
        title = {Fashion Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {1293-1299},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190108},
        abstract = {The rapid growth of e-commerce platforms has significantly increased the demand for personalized product recommendation systems, particularly in the fashion domain. Fashion recommendation systems aim to assist users in discovering clothing and accessories that align with their personal preferences, body characteristics, and current fashion trends. This paper presents the design and implementation of an intelligent Fashion Recommendation System that leverages machine learning and deep learning techniques to provide personalized and context-aware fashion suggestions. The system integrates user preferences, browsing history, visual features extracted from images, and trend analysis to recommend outfits, accessories, and complete looks. By incorporating features such as visual search, size and fit prediction, and trend-aware recommendations, the proposed system enhances user experience and improves decision-making in online fashion shopping.},
        keywords = {Fashion Recommendation System, Machine Learning, Deep Learning, Visual Search, Personalization},
        month = {January},
        }