UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 10 | October 2024

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Volume 11 Issue 10
October-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2410450


Registration ID:
549709

Page Number

e478-e481

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Title

A Personalized Style Guide

Abstract

ML-based Outfit Suggestion System to help fashion enthusiasts choose outfits that flatter their body type and shape. The system uses deep learning, computer vision, and natural language processing to analyze databases of clothing materials and body shape attributes, providing personalized clothing recommendations. Artificial Intelligence and Machine Learning (AIML) technologies present viable solutions to address industry-specific challenges, including those within the fashion sector. Many consumers Strugglewith uncertainty when purchasing clothes online, lacking clarity on suitability and style preferences. Consequently, there is a growing demand for customizable recommendation systems tailored to individual needs and preferences, enhancing both user satisfaction and e-commerce efficiency.

Key Words

Machine Learning ML, Outfit Suggestion System, fashion, clothing recommendations), customizable recommendation.

Cite This Article

"A Personalized Style Guide ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.e478-e481, October-2024, Available :http://www.jetir.org/papers/JETIR2410450.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Personalized Style Guide ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppe478-e481, October-2024, Available at : http://www.jetir.org/papers/JETIR2410450.pdf

Publication Details

Published Paper ID: JETIR2410450
Registration ID: 549709
Published In: Volume 11 | Issue 10 | Year October-2024
DOI (Digital Object Identifier):
Page No: e478-e481
Country: Nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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