Virtual Reality Technology-Based Impact of Fashion Design Technology Using Optimized Neural Network

Today, technology plays an essential role in the fabrication of textiles. Innovation has always been an essential factor in the economic development of the textile markets. Due to the demand for high-quality products and the rapidly changing economic conditions, fabric manufacturers need to produce high-quality products. Consumer demand for fashion, virtual fitting, and personalized style is changing how techniques are designed and consumed. Fashion design models are developed based on big data, and digitalization is based on fashion design data, virtual cloth fittings, design support systems, and recommendation systems to some challenges. To resolve complexity, this work introduces the Artificial Intelligence (AI)-based Optimized Convolution Neural Network (OCNN) technique because users can choose those clothes that suit them in Virtual Reality (VR). It allows us to identify popular trends of clothing based on users' preferences and improve fabric design. After the users first select their favorite outfit, the proposed AI-based OCNN method is to design multiple models of humans and design the fabric with VR technology to suit their bodies. The proposed method can improve the trends and economy of the fabrics based on the users' preferences.