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This Spring Boot application provides a platform for tracking vehicles in real-time. It offers functionalities to manage vehicle information, monitor their locations, and analyze historical data. The system is designed to be scalable, efficient, and easy to integrate with existing fleet management solutions.

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Vehicle Tracking System

This Spring Boot application provides a platform for tracking vehicles in real-time. It offers functionalities to manage vehicle information, monitor their locations, and analyze historical data. The system is designed to be scalable, efficient, and easy to integrate with existing fleet management solutions.

Features

  • Vehicle Management: Add, update, and delete vehicle information such as make, model, registration details, and ownership information.
  • Real-time Tracking: Monitor the real-time location of vehicles on a map interface using WebSocket communication.
  • RESTful API: Exposes a set of RESTful APIs for seamless integration with other systems and applications.

Technologies Used

  • Spring Boot: Provides a robust framework for building enterprise-level Java applications.
  • Socket IO: Facilitates real-time communication between the server and clients for tracking updates.
  • JUnit/Mockito: For unit and integration testing.
  • MongoDB: A NoSQL database for storing vehicle information and tracking data.
  • Aspects: For exception handling.

Getting Started

  1. Clone the Repository: git clone https://github.com/https://github.com/mikechiloane/vehicle-tracker.git
  2. Navigate to Project Directory: cd vehicle-tracker
  3. Configure Database: Replace the MONGODB_URI iin the application.properties file`.
  4. Build the Application: mvn clean install
  5. Access the Application: Open your web browser and go to http://localhost:8080.

License

This project is licensed under the MIT License.

Support

For any inquiries or support, feel free to contact the project maintainers at [email protected].

About

This Spring Boot application provides a platform for tracking vehicles in real-time. It offers functionalities to manage vehicle information, monitor their locations, and analyze historical data. The system is designed to be scalable, efficient, and easy to integrate with existing fleet management solutions.

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