Year: 2025 | Month: March | Volume: 12 | Issue: 3 | Pages: 156-160
DOI: https://doi.org/10.52403/ijrr.20250322
AI Powered Rural Grievance Management System Using Face Recognition
Dr. M. Suganthi, J. N. Naveen, M. Mohamed Afrith, M. Santhosh
Assistant Professor, Department of IT, Student Department of IT,
Kongunadu College of Engineering and Technology, ANNA University, Trichy, India
Corresponding Author: J. N. Naveen, M. Mohamed Afrith, M. Santhosh
ABSTRACT
This project introduces a secure and efficient rural issue management system designed to streamline the process of reporting and resolving problems in villages. Residents can easily report issues such as broken infrastructure, lack of clean water, power outages, or maintenance needs through a user-friendly dashboard. Issues are securely assigned to government officials and relevant authorities using role-based access, ensuring that only the designated personnel handle specific concerns. Government workers earn performance points for resolving issues, while real-time notifications and emails keep residents updated on the progress and resolution of their complaints. Additionally, face recognition technology ensures secure, role-based access, authenticating officials before they assign or update tasks. The issue dashboard provides a clear view of pending, in-progress, and resolved complaints, enabling seamless communication between villagers and government workers. With detailed analytics and reporting features, government officials can track the efficiency of issue resolution, identify common problems, and optimize resource allocation.
Keywords: Rural Issue Management, Role-Based Access, Face Recognition Technology, Real-Time Notifications, Performance Points, Analytics.
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