Civic Sphere Smart Urban Problem Reporting and Management

Abstract

Rapid Civic densification has increased the complexity
of managing civic infrastructure and enforcing public
regulations. Metropolitan hubs often struggle with crumbling
transit networks, inadequate lighting, and refuse management
issues. This paper presents a citizen-centric urban issue management
platform that combines community participation with artificial
intelligence (AI) to support timely, transparent, and datainformed
governance. Residents can report infrastructure faults
or regulatory violations by uploading geo-tagged images, textual
descriptions, or endorsing existing complaints. AI-based image
analysis helps identify issue categories, while natural language
processing enhances report clarity. Predictive models estimate the
likelihood of issue escalation, enabling preventive intervention. A
centralized administrative dashboard allows authorities to prioritize
actions based on urgency, severity, and public feedback, while
route optimization improves administrative effectiveness. Citizens
can monitor the progress of resolutions and earn incentivebased
social contribution credits for meaningful participation.
By integrating crowd-sourced inputs with intelligent analytics,
the proposed system strengthens collaboration between citizens
and authorities, promoting safer and more sustainable urban
environments.