Paper Title
Virtual Dressing Room
Article Identifiers
Registration ID: IJNRD_309682
Published ID: IJNRD2510037
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Keywords
Virtual Dressing Room, Online Shopping, Computer Vision, Augmented Reality, Artificial Intelligence, E-Commerce, Virtual Try-On.
Abstract
Abstract : The growth of e-commerce has transformed the retail sector, yet online fashion shopping still faces challenges related to product visualization, garment fit, and consumer confidence. Customers often struggle to make purchase decisions when relying solely on static images, size charts, and descriptions, leading to high return rates and dissatisfaction. To address these limitations, this study presents a Virtual Dressing Room system that integrates computer vision, augmented reality (AR), and artificial intelligence (AI) to provide an interactive and realistic online shopping experience. The system enables users to try garments virtually in real time through webcams or mobile devices, dynamically adjusting the fit as the user moves. A modular architecture comprising user, administrator, and image-processing components ensures usability, backend efficiency, and scalability. By reducing uncertainty in online fashion purchases, the system benefits both consumers—through enhanced satisfaction and confidence—and retailers—through reduced return rates, catalog management, and inventory tracking. The research also highlights future opportunities in 3D garment visualization and AI-driven personalized recommendations, positioning the Virtual Dressing Room as a step toward bridging the gap between digital and physical retail experiences.
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How To Cite (APA)
Miss. Pallavi A. Desurkar, Prof. Dayanand G Savakar, & Miss. Anjali Deshapande (October-2025). Virtual Dressing Room. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(10), a318-a323. https://ijnrd.org/papers/IJNRD2510037.pdf
Issue
Volume 10 Issue 10, October-2025
Pages : a318-a323
Other Publication Details
Paper Reg. ID: IJNRD_309682
Published Paper Id: IJNRD2510037
Research Area: Science All
Author Type: Indian Author
Country: Jamkhandi, Bagalkot, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2510037.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2510037
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