AI Based Fashion and Outfit Recommendation System

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Authors: Mrunali Hawale, Samiksha Gavande, Siddharath Jadhav, Palak Sharama, Smita Mulhar
Cited by: 0

Abstract

The AI-Based Fashion and Outfit Recommendation System is a hybrid intelligent framework that delivers personalized and context-aware outfit suggestions. The system integrates Convolutional Neural Networks (CNNs) for visual feature extraction with Collaborative Filtering to model user preferences. It analyzes clothing attributes such as color, texture, and pattern to ensure visual compatibility among garments. A contextual layer incorporating weather, location, and event type further refines recommendations. By combining visual intelligence, personalization, and contextual awareness, the system enhances user experience and promotes efficient fashion decision-making in e-commerce platforms.

Fields of Study & Subjects

Recommender Systems and Techniques Advanced Neural Network Applications Consumer Perception and Purchasing Behavior

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
ANG