AI Outfit Recommendation System

The AI Outfit Recommendation System is an intelligent application that provides personalized fashion suggestions using image processing and machine learning techniques. The system analyzes user-uploaded images to extract features such as gender, body measurements, and skin tone, and combines them with user-selected occasions to generate suitable outfit recommendations. It employs computer vision techniques for feature extraction, along with machine learning models for size prediction and preference-based filtering. Additionally, the system incorporates a deep learning–based similarity search mechanism (CLIP) to recommend visually similar dresses, enhancing the relevance of suggestions. It also provides complete styling guidance including makeup, hairstyle, footwear, and accessories, offering a comprehensive fashion experience. The system includes an admin module for managing dress data and ensuring up-to-date recommendations. Overall, the proposed approach improves personalization, accuracy, and usability, making it a practical and user-centric solution for modern fashion recommendation systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-27
DOI
https://doi.org/10.5281/zenodo.19819144
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Outfit Recommendation System

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

AI Outfit Recommendation System

Nazrin Sakeer
article en

Abstract

The AI Outfit Recommendation System is an intelligent application that provides personalized fashion suggestions using image processing and machine learning techniques. The system analyzes user-uploaded images to extract features such as gender, body measurements, and skin tone, and combines them with user-selected occasions to generate suitable outfit recommendations. It employs computer vision techniques for feature extraction, along with machine learning models for size prediction and preference-based filtering. Additionally, the system incorporates a deep learning–based similarity search mechanism (CLIP) to recommend visually similar dresses, enhancing the relevance of suggestions. It also provides complete styling guidance including makeup, hairstyle, footwear, and accessories, offering a comprehensive fashion experience. The system includes an admin module for managing dress data and ensuring up-to-date recommendations. Overall, the proposed approach improves personalization, accuracy, and usability, making it a practical and user-centric solution for modern fashion recommendation systems.

Zenodo (CERN European Organization for Nuclear Research)
Illinois Institute of Technology (US), Institute of Technology of Cambodia (KH)
Gender equality
Openalex Percentile: Top 14%
Generative Adversarial Networks and Image Synthesis
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AI Outfit Recommendation System — Nazrin Sakeer · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS