Shama-33/CitySolution

# CitySolution : Android Mobile Applications with Deep Learning-Based Image Classification for Smart City Corporation This repository contains two Android applications designed to facilitate the reporting and resolution of various civic issues within cities across Bangladesh. ## User Application The User App empowers citizens to report problems they encounter in their cities. Key features include: - **Image Capture**: Users can capture images of different issues. - **Location Tracking**: The app automatically fetches the location of the problem using Google's Fused Location Services. Users can also manually adjust the location if needed. - **Machine Learning Classification**: Problems are classified into four categories using an embedded ML model within the app. They are -damaged roads, trash, homeless people, and floods. - **Notification System**: Users receive in-app notifications about the status of their reported issues. ## Authority Application The Authority App is designed for government authorities to manage and address reported issues effectively. Its features include: - **Problem Categorization**: Authorities can view categorized problems within their corresponding cities. If a problem lies outside the four categories of the model, the authority can manually assign its category. - **Status Management**: Authorities can set the status of reported problems (e.g., "In Progress," "Completed," etc.), which users can view. - **Fraud Detection**: Authorities can manually handle fake complaints to ensure the integrity of the reporting system. - **Higher Authority Segment**: A dedicated segment allows the higher authority to oversee and manage problems reported from all cities. Higher officials can also delete city corporation employee accounts. - **Graphican Views**: Graphical views are included for easier monitoring. ## Components Used This project utilizes various components and technologies, including: - **Android Studio**: Integrated Development Environme …