Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 10 (2025): Volume 9, Issue 10, October 2025 | Pages: 13-17
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 13-10-2025
Android smartphones are increasing in day-to-day life with lots of features including GPS, Wi-Fi, camera, and 5G connectivity. This paper addresses the issue of long waiting queues in salons, which often lead to customer dissatisfaction and time loss. The proposed system introduces a Salon Seat Booking Application that enables users to book appointments conveniently from their smartphones. The app uses GPS-based location services to find the nearest salons quickly and efficiently. Users can browse through available salons, view services, and check real-time availability of seats. The booking system minimizes the need for physical waiting, saving both time and effort for customers. Salon owners can manage appointments more efficiently, reducing scheduling conflicts and maximizing seat utilization. The backend uses a centralized database to handle booking details, customer information, and salon data. Push notifications keep users updated about their appointment status and available time slots. The system also allows cancellation and rescheduling, providing flexibility to users. The app is developed using Android Studio, with Java for the frontend and a REST API backend for data communication. The database ensures accurate and secure handling of bookings and user profiles. This approach promotes digitalization in the beauty and grooming industry. The solution is scalable and can be adapted to multiple salons in a particular city or region. By automating the process, the system reduces manual errors and improves service efficiency. The real-time tracking of appointments ensures transparency for both customers and salon staff. This research demonstrates how technology can modernize traditional salon operations. The application also improves customer experience by offering convenience and reliability. Overall, this paper presents a smart, efficient, and user-friendly solution for salon seat booking and nearest shop detection.
MySQL, PHP, Google Maps API, Appointment Scheduling, Web Services, Real-time Booking, Salon Management
Dr. Sarvesh Warjurkar, Swapnil Kharate, Shivam Ingle, Atishree Shrivastava, Shruti Waghmode, Anand Kshirsagar. (2025). Smart Salon Seat Booking Application and Smart Mirror Integration. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(10), 13-17. Article DOI https://doi.org/10.47001/IRJIET/2025.910003
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence