AI Driven Ethnic Fashion Try-On And Intelligent Shopping Market Place

Abstract

The rapid growth of e-commerce has transformed the fashion industry, yet online ethnic fashion shopping still faces challenges such as uncertainty in fit, appearance, and personalized product discovery. This paper presents an AI-Driven Ethnic Fashion Virtual Try-On and Intelligent Shopping Marketplace designed to improve customer experience through artificial intelligence, computer vision, and recommendation technologies. The proposed platform enables users to upload personal images and virtually try on traditional outfits including sarees, lehengas, kurtas, sherwanis, and other cultural garments. Deep learning-based image synthesis models are used to align garments with body posture, size, and visual features, generating realistic previews before purchase.To enhance product discovery, the platform integrates an intelligent recommendation engine that analyzes user preferences, shopping history, seasonal trends, and occasion-based requirements to suggest suitable outfits. Natural Language Processing modules allow users to search products using conversational text queries such as “wedding saree in royal blue” or “traditional kurta for festival wear.” Generative AI components can also assist in creating new ethnic design concepts based on user prompts.The system architecture combines a responsive frontend built using React with scalable backend frameworks such as Django or Node.js. Cloud-based infrastructure supports image processing, data storage, vendor management, and real-time interactions. Secure payment gateways and order management modules ensure reliable commercial operations. In addition, analytics dashboards help sellers understand customer behavior, optimize inventory, and improve targeted promotions.The proposed solution reduces product return rates, increases customer confidence, and improves user satisfaction through personalized and immersive shopping experiences. It also creates business value by increasing customer engagement and conversion rates. Future enhancements may include augmented reality visualization, multilingual assistance, and cross-cultural fashion personalization. Overall, the platform represents a scalable and intelligent model for the next generation of ethnic fashion commerce.