Year: 2025
Type: article
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.
Author: Krushabh Roy
Institution: MIT Art, Design and Technology University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410780748