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@article{163318,
        author = {G Sankar Sai Nanda and A Gowtham and Harish B and Harsha Vardhan K and Sai Charith S},
        title = {Fashion Recommendation system using machine learning and deep learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2891-2900},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163318},
        abstract = {This paper explores the integration of enhanced personalization and seamless multimodal interfaces in the field of fashion design and recommendation. We examine the increasing demand for personalized fashion experiences and the potential of multimodal interfaces in facilitating effective  communication between designers and users. By leveraging user preferences, body measurements, and style choices, artificial intelligence (AI) systems can deliver highly personalized fashion recommendations. The integration of various input modalities, including text, images and sketches, enables designers and users to communicate their design ideas with ease. The primary results highlight the transformative potential of enhanced personalization and seamless multimodal interfaces, empowering designers, and consumers to co-create unique and personalized designs.},
        keywords = {},
        month = {},
        }