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Fostering Inclusivity and Body Positivity: An AI-Driven Fashion Recommendation System for Mitigating Body Dysmorphic Disorder Effects

Authors

Yishen Wei1 and Kian Azadi2, 1USA, 2California State Polytechnic University, USA

Abstract

This paper addresses the pervasive issue of body image concerns, particularly in the context of Body Dysmorphic Disorder (BDD), and the potential for fashion to either exacerbate or alleviate these concerns [1]. To tackle this problem, we propose ProportiStyle Tips, an AI-powered fashion recommendation system. The background to this problem lies in centuries of body shaming and the contemporary challenges posed by BDD, a condition affecting individuals of all body types and preferences. ProportiStyle Tips utilizes advanced machine learning algorithms to calculate users' body ratios from images, laying the foundation for highly personalized fashion suggestions [2]. Key technologies include image processing, machine learning, and user-centric design. Challenges encompass accurate ratio detection, user comfort, and dataset availability, all of which were methodically addressed during development. Experimental scenarios demonstrated that ProportiStyle Tips could provide recommendations with a 90% user comfort and satisfaction rate. These results signify a positive impact on users' confidence and emotional well-being, making ProportiStyle Tips a valuable tool for empowering individuals to feel comfortable and confident in their own skin, regardless of their body type or preferences [3].

Keywords

MediaPipe, Flutter, Firebase, AWS

Full Text  Volume 13, Number 17