This paper presents Praja Setu, an AI-powered civic issue reporting and governance system designed to improve the efficiency, transparency, and responsiveness of urban service management. Traditional complaint reporting methods often rely on manual processes and fragmented platforms, resulting in delayed responses, lack of accountability, and poor communication between citizens and authorities. To address these challenges, the proposed system integrates modern technologies such as Artificial Intelligence (AI), Geographic Information System (GPS), and real-time notification services to enable quick and accurate issue reporting and resolution. In this system, users can submit complaints through a web portal by uploading images along with location details, while the backend automatically processes and stores the data securely. The AI module analyzes the submitted images to classify the type of issue, detect duplicate reports, and assign priority levels based on severity. Once processed, the system forwards the complaint to the appropriate civic department, where authorities can track, manage, and resolve issues through a centralized dashboard. The platform also provides real-time status updates and notifications to users, ensuring transparency and continuous engagement. Additionally, the system incorporates data analytics and map-based visualization to identify problem hotspots and support better decision-making. The proposed solution reduces manual effort, improves response time, and enhances civic participation, offering a scalable and efficient approach for smart governance and urban infrastructure management.
Introduction
The text presents an intelligent women’s safety and civic issue reporting framework that leverages modern technologies like GPS, IoT, AI, and cloud computing to overcome the limitations of traditional safety and complaint systems, which often suffer from delays, manual processing, and lack of real-time response. The proposed solution enables continuous location tracking, instant SOS alerts, and automatic detection of unusual behavior through mobile or wearable devices, ensuring faster emergency response and better safety.
It also reviews existing civic issue reporting systems and highlights their drawbacks, such as reliance on manual complaint handling, poor real-time tracking, duplicate reports, and limited automation. To address these issues, the proposed system “Praja Setu” is introduced as an AI-driven platform that allows users to report issues with images, videos, and GPS location data. The system automatically analyzes complaints using AI for classification, duplicate detection, and priority assignment, and then routes them to the relevant government departments.
The architecture includes a user-friendly web interface, backend services, AI processing modules, centralized databases, and real-time notification systems. Authorities can monitor complaints through dashboards and map-based visualization, while users receive updates on complaint status.
Conclusion
The proposed Praja Setu system successfully demonstrates an efficient and intelligent approach to improving civic issue reporting and urban governance using modern technologies. By integrating Artificial Intelligence (AI), geolocation services, and real-time communication mechanisms, the system enables faster complaint processing and reduces dependency on manual intervention. This results in improved response time, enhanced transparency, and better coordination between citizens and civic authorities. The implementation using a web-based platform, along with image-based complaint submission, location tracking, and automated workflows, provides a real-time and scalable solution for managing urban issues effectively. The system accurately captures complaint details, analyzes submitted images using AI techniques, and performs tasks such as issue classification, duplicate detection, and priority assessment. It ensures that complaints are automatically routed to the appropriate civic departments, while real-time notifications keep users informed about the progress and resolution status. The inclusion of a centralized dashboard and data analytics enhances transparency by allowing authorities to monitor complaint trends, identify problem hotspots, and make informed decisions for better resource allocation. One of the key advantages of the proposed system is its scalability and cost-effectiveness, as it leverages existing web technologies and does not require complex infrastructure. Additionally, real-time communication and data-driven insights support efficient governance and enable integration with future smart city initiatives. However, certain limitations such as dependency on internet connectivity, data accuracy, and potential privacy concerns may affect system performance in specific scenarios. These challenges can be addressed in future work by incorporating offline reporting mechanisms, enhanced data validation techniques, and stronger security protocols. In conclusion, the Praja Setu system provides a reliable, intelligent, and user-friendly solution for civic issue management, representing a significant step toward transparent governance, improved public services, and sustainable urban development.
References
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