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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},
        }