An AI-Powered Personalised Clothing Recommendation Using Deep Learning

This work presents a fashion recommendation assistant based on AI that is designed to enhance the process by which users select pairs of clothing. Utilizing advanced machine learning and computer vision techniques, it analyzes uploaded images of articles of clothing in an effort to automatically provide complimentary fashion suggestions. The system is designed to present users with personalized fashion suggestions for outfits that are not only visually appealing but also contextually appropriate. Utilizing a specially trained Convolutional Neural Network (CNN) for image classification and color analysis, it correctly identifies clothing categories and color schemes. The outcome of the experiment demonstrates its success in providing consistent fashionrecommendations and thereby serving as a useful tool in the fashion technology sector.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-08
DOI
https://doi.org/10.5281/zenodo.15361856
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

An AI-Powered Personalised Clothing Recommendation Using Deep Learning

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

An AI-Powered Personalised Clothing Recommendation Using Deep Learning

article en

Abstract

This work presents a fashion recommendation assistant based on AI that is designed to enhance the process by which users select pairs of clothing. Utilizing advanced machine learning and computer vision techniques, it analyzes uploaded images of articles of clothing in an effort to automatically provide complimentary fashion suggestions. The system is designed to present users with personalized fashion suggestions for outfits that are not only visually appealing but also contextually appropriate. Utilizing a specially trained Convolutional Neural Network (CNN) for image classification and color analysis, it correctly identifies clothing categories and color schemes. The outcome of the experiment demonstrates its success in providing consistent fashionrecommendations and thereby serving as a useful tool in the fashion technology sector.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Generative Adversarial Networks and Image Synthesis
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