A Research Paper on Crowdsourced Civic Issue Reporting and Resolution System

Reporting road and citizen issues was no longer an easy process for citizens. Reporting problems based on road damage, street cleaning, dents, trash can overflow, street light post damage, or anything under the supervision of a municipality requires long steps and procedures. This is still not a given. The appropriate authority will handle complaints that are reported. If a thousand complaints are filed per day, then because the company is too big to handle minor complaints from a single person, the majority of problems go ignored, unanswered, and unresolved. In order to address this complaint, we will develop a smart Android application that residents can use to notify the appropriate authorities about infrastructure problems in their city. Therefore, with this online Android platform, users may communicate, discuss, and address issues with relevant authorities anytime they come across urban infrastructure, transit, environmental cleanliness, or disturbances in their everyday life. The mobile application is used to register complaints. Higher severity concerns are addressed first because a hybrid CNN-RNN image processing technique and the SVM-NLP model identify the severity of registered proble ms. The problem zone can be precisely located using the GPS (Global Positioning System) sensor on smart mobile devices, and the problem area can be captured on camera as visual proof. The system then generates a form containing all the data and location and visual evidence entered by the user and sends it to a central server. The central server notifies the relevant agencies.