Published Paper Details:

Managing large volumes of emails is time-consuming and often reduces productivity due to repetitive reading, drafting, and replying tasks. To address this challenge, this project proposes an Intelligent Email Management and Automation System using Agentic AI. The system employs Large Language Models (Gemini LLM) to produce context-specific professional email content from limited user prompts. Authentication to Gmail via OAuth 2.0 enables safe email sync and traffic control. The backend, developed in FastAPI, manages routing, intent identification, prompt assembly, and email dispatch, all presented to the user through a React frontend for drafting, rechecking, and amending content. Moving away from classic rule or robotic process automation (RPA) solutions, this API-based method guarantees quicker, more adjustable, and consistent operation. The framework facilitates tone modulation, individualization and complete email lifecycle automation, greatly lowers the time spent and increases the communication effectiveness. Empirical results show that the integrated system boosts productivity, sustains the stable email quality and exhibits the success of Agentic AI in practical email management scenarios.