The rapid growth of e-commerce and digital technologies has transformed the way consumers interact with fashion products. One of the major challenges in online apparel shopping is the inability of customers to physically try on clothes before purchase, often leading to dissatisfaction and high return rates. This project presents the design and development of a Virtual Clothing Try-On Web Application, which provides users with an interactive platform to visualize how garments will appear on them without physical trials. The proposed system allows users to upload their images or use a live camera feed and virtually try different clothing items from a digital catalog. By utilizing web technologies such as HTML, CSS, and JavaScript, along with image processing techniques, the system overlays selected garments onto the user’s image with proper alignment, scaling, and positioning. The application is designed with a user friendly interface to ensure ease of navigation and smooth interaction. The system architecture includes functional modules such as image acquisition, clothing selection, processing, and display. Optional hardware integration using sensors, signal conditioning circuits, ADC, and a microcontroller enhances accuracy and realism. The project performance is evaluated through system analysis, practical analysis, and analytical analysis, focusing on parameters such as response time, overlay accuracy, resource utilization, and cost-effectiveness.
Kailas et al. (Fri,) studied this question.