Authors :
Durga Saranya Kalavalapalli; Padma Rama Sowjanya Ganeswari Anem; Rama Sri Sai Sandeep Kalla; Krishna Chaitanya Nainarapu; Vasanthi Chennuri; Satyanarayana Shekarapalli
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/25rh96bb
Scribd :
https://tinyurl.com/5y46ft65
DOI :
https://doi.org/10.38124/ijisrt/25dec1399
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
In today's fast-paced world, the need for trustworthy home maintenance services in plumbing, electrical work, and
carpentry is growing at an incredible rate. But when people have to coordinate between customers and service people, it usually
leads to schedule conflicts, delays in services, or changes in quality. This project suggests an AI-powered digital platform that
intelligently matches user requests with real service professionals based on their availability, location, and type of service. This
will help solve these problems. In a full-stack framework approach, the system has customized dashboards for customers and
service providers, enabling time management, smooth booking, and tracking of tasks and communications. Other features it
offers with AI incorporation include secure user authentication, notifications about real-time status, and an admin control panel
to monitor all activities. All of which combines AI with automation, enhancing efficiency, transparency, and reliability-
ultimately yielding a more rewarding and reliable experience for all stakeholders in the home services ecosystem.
Keywords :
Artificial Intelligence (AI), Full-Stack Web Development, Real-Time Booking, Service Tracking, Role-Based Access, Secure Authentication.
References :
- M. Sharma et al., “On-Demand Service Booking Platform Using Full Stack Development,” IEEE, 2020.
- S. Gupta and A. Mehta, “Smart Maintenance Management Using IoT and AI,” International Journal of Emerging Technologies, 2021.
- L. Singh and T. Banerjee, “Home Services Marketplace Application,” International Journal of Computer Science Research, 2021.
- R. Kumar et al., “AI-Based Home Service Recommendation System,” Journal of Artificial Intelligence and Data Science, 2022.
- P. Nair and K. Thomas, “AI-Powered Image Recognition for Fault Detection,” Elsevier Journal of Intelligent Systems, 2023.
In today's fast-paced world, the need for trustworthy home maintenance services in plumbing, electrical work, and
carpentry is growing at an incredible rate. But when people have to coordinate between customers and service people, it usually
leads to schedule conflicts, delays in services, or changes in quality. This project suggests an AI-powered digital platform that
intelligently matches user requests with real service professionals based on their availability, location, and type of service. This
will help solve these problems. In a full-stack framework approach, the system has customized dashboards for customers and
service providers, enabling time management, smooth booking, and tracking of tasks and communications. Other features it
offers with AI incorporation include secure user authentication, notifications about real-time status, and an admin control panel
to monitor all activities. All of which combines AI with automation, enhancing efficiency, transparency, and reliability-
ultimately yielding a more rewarding and reliable experience for all stakeholders in the home services ecosystem.
Keywords :
Artificial Intelligence (AI), Full-Stack Web Development, Real-Time Booking, Service Tracking, Role-Based Access, Secure Authentication.
