Abstract: Urban infrastructure maintenance is often hindered by inefficient complaint reporting systems, leading to delays in addressing critical public issues such as potholes, garbage accumulation, broken streetlights, and drainage problems. CivicFix is a cloud-based digital complaint system designed to simplify and automate the grievance redressal process. The platform allows users to report issues by uploading an image, while Google Maps API fetches the location details automatically. A machine learning model then classifies the complaint into categories such as potholes, garbage, streetlights, or drainage, ensuring that it is routed to the appropriate municipal department for resolution.
The system features separate dashboards and logins for both users and department officers, allowing users to track complaint statuses and enabling authorities to efficiently manage and resolve issues. By leveraging cloud storage, AI-based classification, and automated routing, CivicFix enhances urban governance, making issue reporting more efficient, transparent, and community-driven.
CivicFix not only simplifies complaint submission for users but also supports large-scale adoption by utilizing scalable technologies such as ReactJS, Firebase, and AI-powered classification. Its modular architecture allows integration with external APIs, real-time tracking services, and secure cloud storage. As a future-ready civic platform, CivicFix demonstrates how smart urban governance can be achieved through citizen-centric design, automation, and data-driven decision-making.
Keywords: Smart city, urban infrastructure, complaint redressal system, AI-based classification, Google Maps API, cloud computing, Firebase, Web-Based Application, Smart Governance
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DOI:
10.17148/IJARCCE.2025.14636
