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

• Author(s):

  Gulzar Begam J | Baranidharan ASB | Deepa kumar S | Gokuldharsan S

• Keywords:

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

• 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.

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Other Details

• Paper id:

  IJSARTV12I5105373

• Published in:

  Volume: 12 Issue: 5 May 2026

• Publication Date:

  2026-05-15

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