International Journal of Scientific Research and Engineering Development

Rapid urbanization has placed growing pressure on city administrations to manage civic infrastructure effectively. Common urban problems such as garbage accumulation, deteriorating roads, water pipe leakages, and illegal dumping continue to affect the quality of life in many cities. Existing complaint platforms largely depend on manual verification and conventional administrative processes, which results in slow resolutions, limited accountability, and declining public trust. To address these shortcomings, this paper proposes CIVOX, an AI-assisted civic complaint management and verification system aimed at making the reporting and resolution process faster and more reliable. Citizens can submit geo-tagged images of civic issues through a web interface, where the system applies image processing techniques to automatically validate complaints, filter duplicates, and forward verified reports to the relevant municipal authorities. A post-resolution verification step compares before-and-after images to confirm that issues have been genuinely addressed. Prototype testing yielded a validation accuracy of approximately 80%, a duplicate detection accuracy of around 85%, and an average processing time of 3–5 seconds per complaint. CIVOX adopts a modular and scalable architecture that integrates AI-based validation, cloud storage, automated notifications, and an administrative dashboard, with the broader goal of improving transparency and efficiency in public service delivery.

Parag Patil, Tejas Pawar, Rhea Khedikar, Layik A. D, Prof. Vijay Sonawane,"CIVOX: An AI-Assisted Civic Complaint Management and Verification System" International Journal of Scientific Research and Engineering Development, V9(1): Page(2073-2076) Jan-Feb 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.