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  Published Paper Details:

  Paper Title

Using deep learning virtual try-on system

  Authors

  Mrudagandha Balaji Babalsure,  Pooja Ravindra Hyalij,  Snehal Madhukar Deokate,  Akanksha Sanjay Kapase,  Dr. P. D. Halle

  Keywords

assiduity, online shopping

  Abstract


The retail assiduity is witnessing a transformative shift as online shopping becomes decreasingly current, but one patient challenge remains the incapability for guests to physically try on products before making a purchase. This limitation frequently leads to advanced return rates, impacting both client satisfaction and functional effectiveness. still, the confluence of deep literacy and virtual reality technologies has given rise to the Deep literacy Virtual Try- On System, offering a promising result. This system leverages advanced deep literacy algorithms and computer vision ways to produce immersive virtual befitting apartments, allowing guests to fantasize themselves in products in real- time.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2312653

  Paper ID - 246048

  Page Number(s) - f831-f835

  Pubished in - Volume 11 | Issue 12 | December 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mrudagandha Balaji Babalsure,  Pooja Ravindra Hyalij,  Snehal Madhukar Deokate,  Akanksha Sanjay Kapase,  Dr. P. D. Halle,   "Using deep learning virtual try-on system", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.f831-f835, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312653.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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