Finding well-fitting clothing that aligns with personal style preferences
remains a significant challenge in the fashion industry. Existing solutions, such as
online shopping platforms, lack accurate prediction capabilities for how garments
would fit individuals. GarbGenius proposes an innovative approach integrating
Artificial Intelligence (AI) powered recommendation systems and Augmented Reality
(AR) enhanced virtual try-on experiences to address this gap. GarbGenius will deliver
personalized recommendations based on current fashion trends by leveraging userimage input submission and comprehensive clothing datasets. 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 to confidently explore and embrace
the latest trends tailored to their unique preferences.
Keywords: Algorithmic analysis, Artificial Intelligence (AI) powered recommendation systems, Augmented Reality (AR), Clothing datasets, Fashion trends, Vision transformer.
