AR meets AI: Integrating AI agent orchestration into AR application

As AR applications evolve from static overlays to interactive experiences, the demand for intelligent, context-aware content has increased. This thesis explores the integration of Artificial Intelligence (AI) agents into Augmented Reality (AR) ecosystems, demonstrating the practical implementation within the "Center Parcs Nature Discovery" mobile application. Currently available on both mobile platforms (Android and iOS), the application serves as a tool for discovering nature and wildlife in parks across Europe. The application engages users through mini games, quizzes and AR interactive information. This research presents the integration of an AI-driven architecture that allows users to identify animals and vegetation in real-time. By utilizing AI Agent orchestration, the system provides dynamic, context-aware information, significantly enhancing the user experience. The successful integration is evidenced by the application's robust performance, serving over 10,000 users with a 4.8 satisfaction rating.