Integration of PSO and Deep Learning for Trend Analysis of Meta-Verse

Meta-verse is a latest type of application that incorporates a number of cutting-edge technologies. It's multi-technological, social, and hyper-spatiotemporal in nature. Deep learning techniques have made significant advances in recent years. Particle swarm optimization of nonlinear functions was introduced. A major goal of the proposed research was to verify the accuracy of PSO and deep learning for trend analysis of meta-verse. In this study, the precision of the proposed work was compared to that of previous work. Meta-verse, Deep learning, PSO, and Trending Analysis will be used in a real-world scenario in the proposed work. The proposed work provides a wide range of possibilities and adaptability.