Smart 3D Virtual Try-On System with Personalized AI Fashion Stylist

– Online fashion shopping has become increasingly popular due to the convenience and accessibility provided by e-commerce platforms. However, one of the major challenges in online clothing stores is that customers cannot physically try garments before purchasing them. This limitation often leads to uncertainty about how a garment will appear on a user, resulting in dissatisfaction or product returns. To address this problem, this paper presents a Smart 3D Virtual Try-On System with Personalized AI Fashion Stylist. The proposed system analyzes a user’s uploaded image to detect skin tone and generate personalized fashion recommendations. Based on this analysis, the system suggests clothing colors and styles that complement the user’s appearance. The selected garments are then fitted onto a digital avatar and displayed through both 2D and 3D visualizations, allowing users to observe outfits from multiple perspectives. By integrating image processing, artificial intelligence, and 3D visualization technologies, the system provides an interactive and personalized online shopping experience. The developed prototype demonstrates that the proposed approach can improve customer confidence and reduce uncertainty in online fashion selection.