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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM33673

FASHION RECOMMENDATION SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM33673

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM33673

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MPS

Mr. Paranthaman S

MSKK

Mr. Shyam Kumar K

MHR

Mrs. Hemavathi R

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Abstract

The fashion industry has rapidly evolved with the growth of e-commerce and the increasing demand for personalized shopping experiences. This project introduces a fashion recommendation system that helps users discover visually similar clothing items by simply uploading an image. Using machine learning and computer vision techniques, the system combines the power of the ResNet50 deep learning model to extract high-level features from images and LAB color space to analyze color similarities. Recommendations are generated by comparing the uploaded image with a dataset of fashion items. The system is implemented as a user- friendly web application using Flask, allowing users to upload images and receive personalized suggestions. Admins can manage users, respond to queries, and maintain FAQs, while users can interact with the system to explore fashion choices and get support. This project aims to enhance the online shopping experience by providing accurate, intelligent, and visually driven fashion recommendations.

KEYWORDS

Fashion Recommendation System Machine Learning Image Processing ResNet50

Cite This Article

Mr. Paranthaman S, Mr. Shyam Kumar K, Mrs. Hemavathi R, "FASHION RECOMMENDATION SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM33673

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Publication Date

8/23/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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