CivicAi Complaint Management System

Abstract: Rapid urbanization has led to an increase in civic infrastructure issues such as potholes, garbage accumulation, waterlogging, damaged streetlights, and drainage problems. Traditional complaint management systems often face challenges such as delayed reporting, manual categorization, inefficient complaint tracking, and lack of transparency in the resolution process. This paper proposes CivicAI, an AI-Powered Civic Complaint Management System designed to improve the efficiency of reporting, classifying, tracking, and resolving civic complaints. The system enables citizens to submit complaints by uploading images along with location information through a web-based platform. Artificial Intelligence and Computer Vision techniques are utilized to analyze complaint images, identify the type of civic issue, and determine its severity level. The generated complaint reports are automatically forwarded to the appropriate municipal authorities for further action. The system also provides real-time complaint tracking, status notifications, resolution updates, and analytical dashboards for effective complaint management. By integrating Artificial Intelligence, Computer Vision, Geolocation Services, and Web Technologies, CivicAI enhances transparency, improves response time, and strengthens communication between citizens and municipal authorities, thereby contributing to efficient urban governance and smart city development.

Keywords: Artificial Intelligence, Computer Vision, Civic Complaint Management, Smart City, Geolocation Services, Urban Governance, Image Classification.