Crowdsourced Civic Issue Reporting and Resolution System

This paper presented CivicAI, a crowdsourced civic issue reporting and resolution platform documented in the supplied mini-project report. The system brings together citizen authentication, multimedia issue submission, AI-assisted categorization, GPS-based location tagging, map visualization, complaint tracking, and administrative management. Its data model links a complaint to the authenticated user and stores both citizen-provided information and analysis-related attributes. The described workflow provides a foundation for organizing civic observations and improving visibility into complaint progress. The source report provides module descriptions, interface screenshots, and code excerpts demonstrating Supabase authentication, an analysis function, PostgreSQL report storage, and user-level row security. It also describes a broader technology design involving React, Node.js, MongoDB, MapLibre, and OpenStreetMap; the exact implementation stack should be stated consistently in any final deployment documentation. Since the source does not report quantitative evaluation or a live municipal pilot, performance and real-world impact remain to be measured. Future work should prioritize systematic testing, verified AI performance, administrative security, municipal integration, and accessibility.

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