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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
VirtualFit Ai: Revolutionizing Virtual Try-Ons
Authors
Sidharth P S, Ramya C V, Devanandha K S, Irinjalakudakaran Sujith Thilakan, Ms. Aswathy E R
Keywords
Artificial Intelligence, Pose Estimation, SMPL-X Model, Digital Avatars, Real-Time Analysis
Abstract
The advent of artificial intelligence (AI) in retail has revolutionized the shopping experience, offering innovative solutions to traditional challenges. This paper explores the design and implementation of an AI-driven dress suggester for in-store use, eliminating the need for physical trials. The system leverages advanced body scanning technology and AI algorithms to create accurate digital avatars of customers. By analyzing individual body shapes and user preferences, the AI suggester recommends outfits that complement the user's body language and style. This innovative approach enhances customer satisfaction by providing personalized suggestions while also optimizing inventory usage and reducing dependency on fitting rooms. Furthermore, the system offers a modern, tech-driven shopping environment, catering to evolving consumer expectations for convenience and personalization.
IJCRT's Publication Details
Unique Identification Number - IJCRT2412887
Paper ID - 274892
Page Number(s) - i57-i62
Pubished in - Volume 12 | Issue 12 | December 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sidharth P S, Ramya C V, Devanandha K S, Irinjalakudakaran Sujith Thilakan, Ms. Aswathy E R, "VirtualFit Ai: Revolutionizing Virtual Try-Ons", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.i57-i62, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412887.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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