Q-Fitness Gym System: An Integrated Web Application for Smart Gym Operations and Member Engagement

The Q-Fitness Gym System (QFGS) is a web-based management platform developed to enhance the operational efficiency of fitness centres through automation and integration. The system centralizes key functionalities, including member registration, class scheduling, staff and instructor management, and secure payment processing. Designed using the Agile methodology, QFGS ensures iterative development, adaptability, and continuous improvement based on user feedback. The system architecture follows a three-tier design, emphasizing scalability and data security through a MySQL relational database. Comprehensive testing, including unit, integration, and user acceptance tests, verified the functionality, usability, and reliability of the system. The implementation of QFGS demonstrates significant improvements in administrative productivity, resource utilization, and member satisfaction by reducing manual tasks and providing an intuitive digital experience. Overall, QFGS offers an innovative solution for modern gym management, bridging the gap between traditional operations and smart digital transformation.

Fitness management system, web-based application

1. Tang, Y., & Wang, D. (2020). Optimization of sports fitness management system based on Internet of health things. IEEE Access, 8, 209556–209569. https://doi.org/10.1109/ACCESS.2020.3039508 [Google Scholar] [Crossref]

2. Zhang, K., Yang, T., Liu, Z., Yi, C., Hou, Y., & Wu, T. (2025). Effects and functional mechanisms of digital fitness platforms on online fitness payment behavior under the perspective of “She-economy”. PLOS ONE, 20(3), e0319246. https://doi.org/10.1371/journal.pone.0319246 [Google Scholar] [Crossref]

3. Barros, L., Tam, C., & Varajão, J. (2024). Agile software development projects — Unveiling the human-related critical success factors. Information and Software Technology, 170, 107432. https://doi.org/10.1016/j.infsof.2024.107432 [Google Scholar] [Crossref]

4. Zhang, H., & Sun, Q. (2024). The transformation mechanism of fitness clubs: Pricing of joint fitness courses by online platforms and well-known coaches. Journal of Retailing and Consumer Services, 76, 103539. https://doi.org/10.1016/j.jretconser.2023.103539 [Google Scholar] [Crossref]

5. Shan, Y., & Mai, Y. (2020). Research on sports fitness management based on blockchain and Internet of Things. EURASIP Journal on Wireless Communications and Networking, 2020, Article 201. https://doi.org/10.1186/s13638-020-01821-2 [Google Scholar] [Crossref]

6. Zhao, D., Wang, F., & Zhu, X.-F. (2023). Design and implementation of gym management system based on web. In Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) (pp. 44–51). Atlantis Press. https://doi.org/10.2991/978-94-6463-192-0_6 [Google Scholar] [Crossref]

7. Tchórzewski, J., Nabiałek, W., & Księżopolski, A. (2023). Analysis of a web application supporting gym management in terms of control and systems theory. Studia Informatica. Systems and Information Technology, 28(1), 47–68. http://dx.doi.org/10.34739/si.2023.28.03 [Google Scholar] [Crossref]

8. Valcarce-Torrente, M., Javaloyes, V., Gallardo, L., García-Fernández, J., & Planas-Anzano, A. (2021). Influence of fitness apps on sports habits, satisfaction, and intentions to stay in fitness center users: An experimental study. International Journal of Environmental Research and Public Health, 18(19), 10393. https://doi.org/10.3390/ijerph181910393 [Google Scholar] [Crossref]

9. Zhou, D., Li, Y., Sun, H., & Zhang, Q. (2022). Application of intelligent system of Internet of Things in management of unmanned gymnasium. In Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) (Atlantis Highlights in Social Sciences, Education and Humanities). https://doi.org/10.2991/978-94-6463-012-1_64 [Google Scholar] [Crossref]

10. Rivera Ibarra, J. G., Borrego, G., & Palacio, R. R. (2024). Early estimation in agile software development projects: A systematic mapping study. Informatics, 11(4), 81. https://doi.org/10.3390/informatics11040081 [Google Scholar] [Crossref]

11. Passos, J., Lopes, S. I., Clemente, F. M., Moreira, P. M., Rico-González, M., Bezerra, P., & Rodrigues, L. P. (2021). Wearables and Internet of Things (IoT) technologies for fitness assessment: A systematic review. Sensors, 21(16), 5418. https://doi.org/10.3390/s21165418 [Google Scholar] [Crossref]

12. Shreyash, C., Raut, A., Chhatre, R., & Tarekar, S. (2025). Gym management system. International Journal of Scientific Research and Technology, 2(1), 74–76. https://doi.org/10.5281/zenodo.14602006 [Google Scholar] [Crossref]

13. Gym management system project report. (2022). [Project report]. Retrieved from https://www.scribd.com/document/556432661/gym-management-system-project-report [Google Scholar] [Crossref]

14. Kurashkin, S. O., Bukhtoyarov, V. V., Bocharov, A. N., Lavrishchev, A. V., & Seregin, Y. N. (2022). Software designed for fitness club client's requirements management automation. Retrieved from https://ceur-ws.org/Vol-3091/paper03.pdf [Google Scholar] [Crossref]

15. Bhanushali, K., Sureja, V., Patel, V., Thaker, T., & Doshi, N. (2022). Database management system for smart gym using IoT. Journal of Ubiquitous Systems and Pervasive Networks, 16(1), 23–27. Retrieved from https://www.iasks.org/articles/juspn-v16-i1-pp-23-27.pdf [Google Scholar] [Crossref]

16. Khapre, J., & Kandelkar, A. (2020). A study to review and assess gym management system. International Journal of Research and Analytical Reviews, 7(3), 118–122. Retrieved from https://www.ijrar.org/papers/IJRAR1BUP019.pdf [Google Scholar] [Crossref]

• Smart Iot Device for Weather And Health
• Merlarchive: A Web-Based Academic Hub for UDM With AI-Powered Natural Language Processing
• Enhanced Social Network Security System: Integrating Biometric Authentication for Improved User Verification and Privacy Protection
• Smart Budget Allocation in Public Policy: A Data-Driven Approach for Equitable Resource Distribution
• Decision Support System for Faculty Selection, Promotion, and Reclassification Using Predictive Analytics