Published Paper Details:

This paper presents an AI-powered web application for automating petition analysis and grievance redressal. The system allows users to securely submit petitions, automatically classifies them into appropriate departments, and prioritizes urgent or critical cases. It identifies repetitive grievances to avoid duplication, supports better resource allocation, and sends timely reminders to officials to ensure prompt resolution. To enhance transparency and user trust, the system provides real-time petition tracking and regular status updates to petitioners. It uses sentiment analysis to determine the emotional intensity of each petition, aiding in urgency detection. Additionally, the application is built on a scalable cloud-based infrastructure to ensure reliability and data security. By integrating intelligent automation, sentiment-based prioritization, and real-time communication, the proposed solution streamlines grievance handling, improves administrative efficiency, and fosters accountability in governance.