Fashion.AI- Personalized Outfit Recommendation

In the last few years, AI has slowly started changing how the fashion industry works, especially when it comes to giving people outfit ideas that feel more personal. For this project, we made a fashion assistant that helps suggest clothes by breaking the job into smaller parts. It uses things like image search, color picking, and some smart tools to figure things out. When someone uploads a picture, the system checks what type of clothing is in it using a deep learning method called Faster RCNN (basically, it helps the system "see" the clothes). Then, it tries to figure out the main color of the outfit using K-means clustering, which just means it groups similar colors together. After that, it sends this info, along with whatever style the person typed in, to ChatGPT. That’s where the outfit suggestions come from—it uses all that input to recommend clothes that fit the style. To help users picture the results, the system also pulls similar images from the Pexels site. The whole thing works through a simple and friendly interface that walks you through each step.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-27
DOI
https://doi.org/10.22214/ijraset.2025.71114
Primary Topic
Assembly Line Balancing Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Fashion.AI- Personalized Outfit Recommendation

Kunal Roy
International Journal for Research in Applied Science and Engineering Technology
Assembly Line Balancing Optimization
article

Fashion.AI- Personalized Outfit Recommendation

Kunal Roy
article en

Abstract

In the last few years, AI has slowly started changing how the fashion industry works, especially when it comes to giving people outfit ideas that feel more personal. For this project, we made a fashion assistant that helps suggest clothes by breaking the job into smaller parts. It uses things like image search, color picking, and some smart tools to figure things out. When someone uploads a picture, the system checks what type of clothing is in it using a deep learning method called Faster RCNN (basically, it helps the system "see" the clothes). Then, it tries to figure out the main color of the outfit using K-means clustering, which just means it groups similar colors together. After that, it sends this info, along with whatever style the person typed in, to ChatGPT. That’s where the outfit suggestions come from—it uses all that input to recommend clothes that fit the style. To help users picture the results, the system also pulls similar images from the Pexels site. The whole thing works through a simple and friendly interface that walks you through each step.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
MIT Art, Design and Technology University (IN)
Openalex Percentile: Top 84%
Assembly Line Balancing Optimization
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Fashion.AI- Personalized Outfit Recommendation — Kunal Roy · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS