Abstract:

Public petition processing in government and institutional environments often suffers from delays, manual effort, and inefficient routing. This project proposes an AI-based Petition Management System that automates the reading, classification, and forwarding of petitions received through email. Using Natural Language Processing, the system extracts text, identifies petition category, and auto-routes it to the appropriate department, reducing human involvement and processing time. The solution improves accuracy, transparency, and efficiency in grievance redressal while providing a scalable framework for future integration in real-world e-governance systems.