People Meet Agent

Abstract: In today's fast-paced digital world, people often miss relevant events due to information overload, poor discovery mechanisms, and complex registration processes. Traditional event management platforms require users to manually search, filter, and book events, which can be time-consuming and inefficient. To address these challenges, this paper presents People Meet Agent, an intelligent event discovery and management system powered by Agentic Artificial Intelligence. The proposed system acts as a smart assistant that understands user preferences through conversational interaction and autonomously performs tasks such as event discovery, recommendation, and booking. By using agentic AI principles, the system can take decisions, interact with backend services, and complete event-related tasks with minimal user effort. The platform supports personalized event suggestions, simplified registration, and real-time responses through a conversational interface. People Meet Agent improves user engagement by reducing manual steps and providing a seamless event experience. The system is especially useful for academic, professional, and social events, making event participation more accessible and efficient.

Keywords: Agentic AI, Event Management System, Conversational Agent, Event Recommendation, Artificial Intelligence.