Randomized trial demonstrates improved outfit suggestions using AI for personalization, indicating better user satisfaction.
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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Nazrin Sakeer (2026) studied this question.
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