CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning

TL;DR

This paper introduces a mobile application system for citizens to report municipal complaints and for authorities to categorize and monitor them automatically using deep learning, aiming to improve smart city management.

Contribution

It presents the development of two Android apps and a deep learning model for automatic complaint categorization in smart city contexts.

Findings

Successful implementation of complaint reporting and categorization apps

Enhanced transparency and monitoring capabilities for authorities

Potential to scale smart city complaint management nationwide

Abstract

The lack of an automated online platform for reporting citizens' complaints, coupled with the city corporations' struggles in managing them, presents significant challenges. Furthermore, the availability of resources is very limited to higher authorities for monitoring progress. The primary objective of this paper is to develop two Android applications and to categorize complaints automatically using a deep learning model created on the Teachable Machine. With the citizen-oriented application, individuals can easily report complaints by capturing pictures of their municipal issues. The authority version of the application provides categorized complaints, along with location and status details. Higher authorities can monitor the municipal progress, thereby enhancing transparency, and efficiency and promoting smart city development on a nationwide scale.