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@article{179040, author = {faisal khan and Mohd Zaid Khan and Umar Faridi and Ziyaan Ahmed Khan}, title = {Design and Implementation of a MERN-Stack Based Home Service Management System with Real-Time Tracking and Secure Booking}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {12}, pages = {8297-8302}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=179040}, abstract = {The home service sector is confronted with a number of challenges, such as accessibility, reliability, and trust in service professionals. Homeowners find it challenging to locate certified experts and have trouble scheduling appointments and getting correct service quotes. This paper presents a centralized online booking platform for home service experts, with features like real-time tracking, transparent pricing, and secure payment. The proposed system adopts an agile development methodology to ensure incremental improvements from user feedback. The platform seeks to enhance service efficiency, customer confidence, and overall user experience in home maintenance services such as carpentry, plumbing, and electrical services. The system also incorporates personalized recommendations and role-based access control to improve usability, security, and service relevance for both users and providers. Built using the MERN stack (MongoDB, Express.js, React.js, Node.js), the application offers a robust, full stack JavaScript solution optimized for responsiveness and scalability. It uses GraphQL to manage and query complex data efficiently, minimizing over-fetching and under-fetching of service information. Real-time notifications, encrypted authentication via JWT and Descope, and seamless payment gateway integration ensure a secure and engaging user experience. Performance testing showed a significant reduction in booking time and increased user satisfaction due to improved system responsiveness. This research contributes a practical, scalable solution to the on demand service industry while laying the groundwork for future enhancements using AI and blockchain technologies.}, keywords = {}, month = {May}, }
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