Custom Clothing Design and Ordering Platform with Generative AI
Dr. S. Gnanapriya1, Pranav.K.S2
1Assistant professor, Department of Computer Applications, Nehru college of Management, Bharathiyar University, Coimbatore ,Tamilnadu, India gnanapriya_2006@yahoo.co.in
2Student of II MCA, Department of Computer Applications, Nehru college of Management, Bharathiyar University, Coimbatore, Tamilnadu, India pranavsuresh041@gmail.com
Abstract
The increase in customer preferences towards mainly be spoke fashion leads to the need of applications that would allow customers to easily design and order clothes online. However, as many existing platforms have shown, it is difficult to incorporate design tools that are easy to use, real time previews which are important and recommendations that consider the user preferences appropriately. To fill these voids, this paper presents the “Custom Clothing Design and Ordering Platform with Generative AI”. Being equipped with sophisticated machine learning and generative AI features, the platform provides users with an innovative environment that allows them creating designs suitable for their needs. These are such as AI-generated design proposals, live visualisations, and an intelligent recommendation system for fabrics and patterns chosen by the user as well as trend prediction. The platform taps into generative AI to improve design and colour choices with design features that support individual body fit and product size. Moreover, sentiment analysis is incorporated in order to analyse the reception of the users and the further design advice. By simplifying the ordering process, and providing some techniques for demand forecasting, it makes the process effective to both the customers and manufacturers. Through the application of an artificial intelligence mechanism, this revolutionary technology alters the customer experience to create a new model for personalized clothing production for independent fashion designers and businesses.
Keywords: Custom Clothing Design, Generative AI, Machine Learning, Real-Time Preview, Fashion Individualisation, User-Experience Design
