Impact Factor: 7.883
Submit Paper
Volume 12, Issue 5 (May 2026)

Multimodal Civic Issue Intelligence For Predictive Urban Service Insights And Real-time Governance Analytics

Impact Factor
7.883
Call For Paper
Volume 12 Issue 07

July 2026

Download Paper Format
Copyright Form
Share on:

Author(s)

Gulzar Begam J Baranidharan ASB Deepa kumar S Gokuldharsan S

Abstract

CivicCMS Is An AI-integrated Civic Complaint Management Platform Built On Spring Boot 3.2, MySQL, And The Claude AI API. It Enables Citizens To Report Civic Problems Such As Potholes, Water Leaks, Power Outages, Garbage Overflow, Drainage Blockages, And Street-light Failures Through An Intelligent Chatbot Interface. The System Automatically Classifies Each Complaint Into A Category, Assigns It To The Correct Government Department, Detects Geo-based Duplicate Complaints, And Enforces Service Level Agreement (SLA) Deadlines With Automated Escalation. Department Heads Manage Their Assigned Complaints Through A Dedicated Portal, While Administrators Monitor All Activity, Chaos Alerts, And Analytics Through A Real-time Dashboard. The Platform Supports Multi-language Output In English, Tamil, And Hindi, Offers Google OAuth And OTP-based Authentication, And Provides A Public Feedback Wall For Community Transparency. Experimental Evaluation Demonstrates Consistent Complaint Classification Accuracy And Measurable Reduction In Resolution Turnaround Time.


Keywords

Civic Complaint Management Artificial Intelligence Spring Boot Claude AI JWT Authentication SLA Monitoring Geo-Duplicate Detection Real-Time Notification Chaos Detection Department Routing

Paper ID

IJSARTV12I5105373

Publication Date

May 15, 2026

Research Area

Information Technology

Submit Your Paper to IJSART

Join the global research community with IJSART. Submit your paper, share your work, and gain worldwide recognition!