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  Published Paper Details:

  Paper Title

Outfit Recommendation System Based On Body Shape

  Authors

  Aadit Rode,  Rushikesh Sangale,  Jayasri Rathod,  Prof. Smita Thube

  Keywords

Style Advice, Apparel Suggestions, AI-driven Fashion Guidance, Apparel Dataset, Physique Assessment, Physique Analysis, Body Structures, Apparel Trends.

  Abstract


Choosing outfits that complement our body types can be challenging and time-consuming, leading to uncertainty and a lack of confidence. This study aims to address these challenges by developing a Machine Learning- based Outfit Suggestion System. This innovative system utilizes various machine learning techniques, such as deep learning, computer vision, and natural language processing, to analyze a vast dataset containing clothing items and body shape attributes. By doing so, it provides personalized outfit recommendations tailored to individual body types. This research represents a significant advancement in fashion recommendation systems, offering a promising solution for fashion enthusiasts seeking personalized outfit suggestions across different contexts.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAF02085

  Paper ID - 260983

  Page Number(s) - 425-428

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Aadit Rode,  Rushikesh Sangale,  Jayasri Rathod,  Prof. Smita Thube,   "Outfit Recommendation System Based On Body Shape", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.425-428, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAF02085.pdf

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


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