Personal Calendar Agent

Abstract: Effective management of daily schedules has become increasingly challenging due to the growing number of personal, academic, and professional responsibilities. Traditional calendar applications depend heavily on manual input and provide limited intelligent assistance. This paper presents a Personal Calendar Agent, an AI assisted conversational scheduling system that enables users to manage calendar events using natural language interaction. The proposed system allows users to create, update, delete, and retrieve events through simple conversational commands. A Gemini 2.0 AI model is used for intent recognition and information extraction, while a Fast API-based backend performs scheduling logic and event processing. Event data is persistently stored using an SQLite database. Additional features such as automated reminders, conflict detection, and category-based filtering improve scheduling efficiency. Experimental evaluation shows that the system reduces manual effort, improves usability, and enhances accuracy compared to traditional calendar tools.

Keywords: Personal Calendar Agent, Conversational AI, Intelligent Scheduling, Natural Language Processing, FastAPI, SQLite.