AI-Enabled Smart Service Booking and Technician Management System

  • Unique Paper ID: 194975
  • Volume: 12
  • Issue: 10
  • PageNo: 6291-6298
  • Abstract:
  • The AI-enabled smart service booking and technician management system is a web application designed to facilitate the interaction of customers who need home services with skilled technicians who are capable of providing such services in an efficient manner. The application is designed to make the process of service booking and management easier and more efficient for all stakeholders involved using an integrated platform. Customers will be able to search for available services such as plumbing, electricians, and other services, schedule appointments, track technicians, and provide feedback after the completion of the services. The application will also provide technicians with a platform where they will be able to receive and manage services, update their availability, share their location, and track their earnings. The application will also be managed by administrators who will be responsible for managing all aspects of the application, including accepting technicians, managing services, tracking bookings, handling customer complaints, and tracking analytical data using analytical tools. The application will be developed using modern web development technologies such as React and Vite for the front-end and Node.js and Express for the back-end to ensure high-performance and scalable application development. The application will also use MongoDB as the database management tool.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article 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.

BibTeX

@article{194975,
        author = {KUMANAN S and Revathy D},
        title = {AI-Enabled Smart Service Booking and Technician Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {6291-6298},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194975},
        abstract = {The AI-enabled smart service booking and technician management system is a web application designed to facilitate the interaction of customers who need home services with skilled technicians who are capable of providing such services in an efficient manner. The application is designed to make the process of service booking and management easier and more efficient for all stakeholders involved using an integrated platform. Customers will be able to search for available services such as plumbing, electricians, and other services, schedule appointments, track technicians, and provide feedback after the completion of the services. The application will also provide technicians with a platform where they will be able to receive and manage services, update their availability, share their location, and track their earnings. The application will also be managed by administrators who will be responsible for managing all aspects of the application, including accepting technicians, managing services, tracking bookings, handling customer complaints, and tracking analytical data using analytical tools. The application will be developed using modern web development technologies such as React and Vite for the front-end and Node.js and Express for the back-end to ensure high-performance and scalable application development. The application will also use MongoDB as the database management tool.},
        keywords = {Smart Service Management, Service Booking System, Web Application, React, Node.js, MongoDB, Real-time Tracking, Socket.io, REST API, JWT Authentication, AI Chatbot, Service Marketplace.},
        month = {March},
        }

Cite This Article

S, K., & D, R. (2026). AI-Enabled Smart Service Booking and Technician Management System. International Journal of Innovative Research in Technology (IJIRT), 12(10), 6291–6298.

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