Date of Publication :29th June 2024

Abstract: Augmented Reality (AR) integration enhances information communication by overlaying digital content onto the real-world environment, providing users with a seamless and interactive experience. This advanced technology allows for the integration of real-time data, 3D models, and contextual information, fostering a more immersive and engaging interaction between users and their surroundings. In the realm of augmented reality (AR), this research pioneers a novel integration of Generative Adversarial Networks (GANs) and XGBoost, presenting a groundbreaking approach to enhance visual interaction and information communication. By synergizing the generative capabilities of GANs with the predictive power of XGBoost, our proposed framework empowers AR applications to dynamically generate and adapt visual content in real-time, significantly improving user engagement and experience. The novelty of our work lies in the seamless fusion of GANs and XGBoost, creating a symbiotic relationship that not only refines the realism of generated content but also optimizes its relevance based on user context. e model achieves a remarkable accuracy of 99%, indicating its overall correctness in classifying visual and informational elements. This integration enables AR systems to intelligently respond to user interactions, providing a personalized and immersive experience. The significance of our research extends to various domains, including education, gaming, and professional training, where effective information communication is paramount.

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