FASHION ACCESSORY RECOMMENDATION SYSTEM
Abstract
This research focuses on the development of an AI-powered system that helps people choose accessories that match their
outfit and enhance outfit coordination by analyzing the dominant color in the fabric image. The system uses advanced color
extraction to analyze the main shades in fabric and generates accessory suggestions that complement with the analyzed
colors. It also integrates current fashion trend insights, such as geometric patterns and earthly tones, to make stylish and
trendy recommendations suitable for fashion designers, stylists, and consumers.
This AI-driven approach blends fashion and technology, helping users create well-coordinated outfits that align with
modern styling trends. Issues like complexities in text-to-image development process and accessibility of data are
encountered. In coming time improvements includes making bigger dataset to get more colors patterns and textures, good
tuning models for fashion targeting tasks, developing automated testing frameworks for accessory matching. The model
holds energy for development into e-commerce platforms, individual styling applications and fashion suggestion systems,
giving personalized and dynamic fashion solutions.
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