International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI Powered Fashion Recommender & Virtual Try-On |
|---|---|
| ABSTRACT | In today's digital era, fashion e-commerce platforms serve as a vital conduit between customers, fashion products, and the modern shopping community. This abstract delves into the multifaceted realm of online fashion platforms, elucidating their evolving role in shaping contemporary fashion shopping experiences. With the rapid advancement of technology, fashion e-commerce platforms have transformed into dynamic platforms offering a plethora of services and personalized experiences to customers worldwide. |
| AUTHOR | PROF.KOMAL PALIKONDAWAR, RAHUL RATHOD, ABHIJEET GAIKWAD, SURAJ RAUD, ROHIT MHASKE Lecturer, Dept. of Information Technology Engineering, Parvatibai Genba Moze College of Engineering, Pune, Maharashtra, India Student, Dept. of Information Technology, Parvatibai Genba Moze College of Engineering, Pune, Maharashtra, India |
| VOLUME | 189 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1410007 |
| pdf/7_AI Powered Fashion Recommender & Virtual Try-On.pdf | |
| KEYWORDS | |
| References |
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