Published Paper Details:

In the fashion industry, finding well-fitting clothing that aligns with personal style preferences remains a significant challenge. Existing solutions, such as online shopping platforms, lack accurate prediction capabilities for how garments will fit for the individuals. To address this gap, GarbGenius proposes an innovative approach integrating Artificial Intelligence (AI) powered recommendation systems and Augmented Reality (AR) enhanced virtual try-on experiences. By leveraging user-image input submission and a comprehensive clothing datasets, GarbGenius will deliver personalized recommendations based on current fashion trends. Implementation involves developing user-friendly interfaces for user image input submission, clothing datasets, and algorithmic analysis of Vision Transformer (ViT) with recommendations, ensuring a seamless and immersive fashion wardrobe experience. Through iterative testing and maintenance, GarbGenius aims to empower users with confidence in exploring and embracing the latest trends tailored to their unique preferences.