AI Fashion Assistant-Vogue Vista

Parkavi C., Nimmy Prabha, Mownigaa M., Manigandan G., Soorya R., Vishal K.

2025

Abstract

Fashion plays an important role in expressing oneself and picking the right outfit according to personal characteristics can boost a person's confidence and comfort level. AI-Based Fashion Assistant which helps Users to choose their best outfits based on their Skin Tone, Body Type, Personal preferences. By utilizing machine learning algorithms to analyze fashion trends, the system can recall appropriate individual-characteristic-tailored outfits. Furthermore, the project also includes a wardrobe management system that suggests outfits based on the clothes a user already possesses, encouraging sustainable clothing habits. The inclusion of AI-powered suggestions allows this fashion assistant to streamline the decision-making process and save time when choosing outfits. The new system proposed in this paper resolves the issues of daily styling in the fashion domain with data-assisted and user-oriented recommendations thus providing a positive experience of shopping and wardrobe management to the user.

Paper Citation

in Harvard Style

C. P., Prabha N., M. M., G. M., R. S. and K. V. (2025). AI Fashion Assistant-Vogue Vista. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 377-381. DOI: 10.5220/0013913500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Parkavi C. and Nimmy Prabha and Mownigaa M. and Manigandan G. and Soorya R. and Vishal K.},
title={AI Fashion Assistant-Vogue Vista},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={377-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013913500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI Fashion Assistant-Vogue Vista
SN - 978-989-758-777-1
AU - C. P.
AU - Prabha N.
AU - M. M.
AU - G. M.
AU - R. S.
AU - K. V.
PY - 2025
SP - 377
EP - 381
DO - 10.5220/0013913500004919
PB - SciTePress