Virtual Fashion with AI Personalization
Abstract: The rise of e-commerce in the fashion industry hasledtoanincreaseddemandforvirtualtry-onsolutions that enhance user experience. This paper presents a Virtual Fashion with AI Personalization system leveraging Generative Adversarial Networks(GANs)and deep learning techniques to provide a realistic and interactive digital try-on experience. The system enables users to upload images, select garments, and visualize theminreal-timewithpersonalizedfitting.Thisapproach addresses challenges in online apparel shopping, including size misfit and lack of customization, through AI-driven garment segmentation, pose estimation, and recommendation algorithms. By integrating cutting-edge deep learning techniques, this research demonstrates a robustandscalablesolutionforrevolutionizingtheonline fashion industry
Authors
- Rushikesh Gaikhe
Institutions
- Sandip Foundation (IN)
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-05-08
- DOI
- https://doi.org/10.22214/ijraset.2025.70326
- Primary Topic
- 3D Shape Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00