AI-Powered Virtual Fashion Stylist with Machine Learning

Ghislain Mukamba*
DMI-St. John the Baptist University, Mangochi, Malawi.
Periodicity:July - December'2024
DOI : https://doi.org/10.26634/javr.2.2.21648

Abstract

This article provides a discussion about personal style, body beauty, and personal identity to solve the problems that people face when changing the clothes, they choose for change. The system uses artificial intelligence(AI) and machine learning (ML) to provide customized fashion recommendations based on user preferences and dynamically adapt to changes. The system includes a cloud-based database for scalability, and aims to redefine fashion by providing responsive and personalized solutions.

Keywords

Men's Casual Wear, Fashion Advisory, Jeans, Outfit Selection, Tailored Suit, Business Attire, Fashion Technology, Interview Outfits, Blazer and Pant.

How to Cite this Article?

Mukamba, G. (2024). AI-Powered Virtual Fashion Stylist with Machine Learning. i-manager's Journal on Augmented & Virtual Reality, 2(2), 15-20. https://doi.org/10.26634/javr.2.2.21648

References

[1]. Pandit, A., Goel, K., Jain, M., & Katre, N. (2020). A review on clothes matching and recommendation systems based on user attributes. International Journal of Engineering Research & Technology, 9(8), 786-791.
[5]. Shaikh, A., Khan, R., Panokher, K., Ranjan, M. K., & Sonaje, V. (2023). E-commerce price comparison website using web scraping. International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 11(3), 1-13.
[7]. Deshmane, V., Musale, P., Joshi, P., Chinta, V., Gokak, K., & Dalbhanjan, I. (2024). Web scraping for e-commerce website. International Journal for Innovative Engineering & Management Research, 13(4).
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