ARStyle: AI Fashion Advisor with AR Try-on and E-Commerce Integration
Online shopping platforms encounter difficulties with matches between customer preferences and recommended clothes and virtual dressing functions which results in failed selections plus elevated product returns. ARStyle resolves these problems through the combination of AI capabilities with AR technology. A system gathers user information including gender along with dimensions and body shape which it uses to create recommendations using artificial intelligence filters. Users experience virtual try-on through image-based overlay as well as real-time AR visualization. The integration between e-commerce platforms and ARStyle offers users better online shopping by boosting confidence and cutting down return rates.
Authors
- Uttara Gogate (ORCID: https://orcid.org/0000-0002-7210-4699)
- Amol Jadhav (ORCID: https://orcid.org/0000-0003-1195-6238)
- Alok Bind
- Manish Prajapati
Institutions
- Shivaji University (IN)
Publication Details
- Journal
- International Journal of Advanced Research in Science Communication and Technology
- Published
- 2025-03-30
- DOI
- https://doi.org/10.48175/ijarsct-24469
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00