Style Array – a Virtual Fashion Assistant Web Application

Abstract

"Style Array addresses the common challenge of decision-making in the realm of wardrobe selection, recognizing the wearisome and time-consuming nature of this process. The project aims to alleviate the burden of indecisiveness surrounding clothing choices by providing users with effective guidance and ensuring they possess clothing that complements their physique.

The project's objective is a comprehensive analysis of the difficulties people encounter in deciding what to wear, coupled with the development, testing, and evaluation of an application designed to assist users in optimizing their clothing choices. Recognizing the psychological toll of indecisiveness in fashion selection, the application is intended to offer practical advice and style recommendations.

To gain insights into the problem domain, a literature survey and pilot study were conducted, identifying sub-problems contributing to the overarching challenge. Additionally, an industry survey involved potential end users participating in questionnaires and interviews to extract essential requirements for the proposed application.

The culmination of these efforts is the implementation of the Style Array platform. This application incorporates a machine-learning model, leveraging user preferences to dispense personalized styling advice and suggest clothing options that align with individual color and style preferences.

The Style Array platform emerges as a solution to minimize decision fatigue associated with wardrobe choices. It serves as an exemplary demonstration of technology's potential to simplify daily tasks and enhance user experiences, particularly in the domain of clothing selection. By leveraging advanced algorithms and user preferences, Style Array streamlines the process of choosing what to wear, showcasing the positive impact of technology on everyday decision-making challenges."