This project presents the design and development of a modern, full-stack web-based application that integrates interactive mapping, secure user authentication, and efficient database management to provide a scalable, reliable, and user-friendly platform. The system is developed using advanced web technologies such as Next.js and React for the frontend, Prisma ORM for backend data handling, and powerful geospatial visualization libraries like Leaflet and MapLibre for rendering dynamic maps. The primary objective of this application is to enable users to interact with geospatial data in a seamless and intuitive manner. By leveraging interactive map interfaces, users can explore, visualize, and manage location-based information in real time. The system supports various map functionalities such as zooming, panning, and marker placement, allowing users to gain meaningful insights from geographic data. This makes the application highly suitable for use cases such as location tracking, geographic analysis, event mapping, and navigation-based services. To ensure secure access and data privacy, the application incorporates robust authentication and authorization mechanisms. Users can register, log in, and securely access personalized features within the system. The authentication flow is designed to protect user data and prevent unauthorized access, thereby enhancing system reliability and trustworthiness. Additionally, session management and validation techniques are implemented to maintain consistent and secure user interactions. On the backend, Prisma ORM is used to efficiently manage database operations, including data storage, retrieval, updating, and deletion. The structured database design ensures data integrity and consistency, while Prisma simplifies complex queries and enhances development productivity. The system architecture follows a modular and API-driven approach, enabling smooth communication between frontend and backend components. The user interface is designed to be responsive, interactive, and accessible across multiple devices, including desktops, tablets, and smartphones. Modern UI components and validation techniques are incorporated to enhance user experience and minimize input errors. The application also emphasizes performance optimization to ensure fast loading times and smooth interactions, even when handling large datasets. Furthermore, the project adopts best practices in software development, including component-based architecture, code reusability, and maintainability. This ensures that the system can be easily extended or modified to accommodate future enhancements such as real-time tracking, advanced analytics, or integration with external APIs.
Godadevi et al. (Mon,) studied this question.