Live Location Tracking

Abstract

Live Location Tracking System is an interactive web system that tracks users or assets on an interactive map with real or simulated GPS information. It provides real-time tracking with dynamic markers, direction guidance, and time-stamped movement history. It uses React.js for frontend, Tailwind CSS-styled for design, and Chart.js for data visualization. It uses API services handled by Python and Flask for backend with GPS data processed with Pandas. Axios takes care of API communication between backend and frontend for smooth data transmission. User and admin data with profiles and location history are saved securely in a MySQL database accessed with phpMyAdmin. Secure login, admin dashboard, trails for routes, and live display of coordinates are included in the system. For scalability, future upgrades such as integration of real GPS hardware, WebSocket-based real-time tracking, and predictive analysis are provided. It offers real-world applications such as logistics, transport tracking, personal protection, and asset tracking. Being an open-source platform, it offers a cost-efficient, flexible option for live location tracking systems.

Introduction

The text presents a comprehensive design and development of a web-based Live Location Tracking System that enables real-time tracking of assets, vehicles, or individuals through an interactive map interface. Driven by growing demand across industries such as logistics, personal security, and public transport, the system uses GPS data—either live or simulated—to display dynamic location updates, route trails, and timestamped movements. It incorporates role-based access control for secure login and differentiated user/admin dashboards, along with data analytics visualized via charts for historical movement trends.

Built with modern web technologies (Python Flask backend, React.js frontend, Tailwind CSS, and Chart.js), the system offers scalability, modularity, and ease of integration with real GPS hardware or IoT sensors. The literature review highlights prior work in GPS tracking, privacy concerns, user-friendly design, and cloud integration, informing the system’s features such as secure data handling and simulation mode for testing without GPS devices.

The methodology outlines a client-server architecture supporting real-time updates, user management, and analytical insights. Admin interfaces allow global tracking and user oversight, while users can manage personal location history. Testing covers unit, integration, and cross-browser compatibility. The expected result is a responsive, secure, and extensible platform suited for applications in fleet management, emergency response, and personal safety, with plans for future enhancements including AI-assisted features and mobile app deployment.

Conclusion

This research successfully demonstrates the architecture and development of a real-time Live Location Tracking System using recent web technologies. With React.js, Tailwind CSS, Flask, MySQL, and Chart.js combined, the system ensures a data-driven and user-friendly interface for tracking, analyzing, and monitoring location data efficiently. The project has high feasibility in real-world usage such as logistics, safety, transportation, and asset tracking. Role-based dashboards and secure authentication enhance admin and user usability, while scalability guarantees that the system can adapt to different real-world environments. Use of open web standards, modular design, and data visualization enables intelligent decision-making. The system bridges the gap between static mapping and intelligent live tracking. In the future, the system may be integrated with actual GPS hardware, support mobile apps, and leverage predictive analytics for smart tracking.

References

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Copyright

Copyright © 2025 Mr. M. Prabu, Peram Sasi Kumar Reddy, Katakam Sai Teja, Nai Brahmana Mohan Kumar , Bodipati Durga Malleswari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.