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.
Nazrin Sakeer (Mon,) studied this question.