A Full-Stack Gym Management System for Fitness Centers Using MERN Architecture

Authors

  • Ali Hasan Department of Computer, BBIT College, V.V. Nagar, Gujarat, India Author
  • Nihal Patel Anandalaya, NDDB Campus, Anand, Gujarat, India Author
  • Mohsin Hasan Department of Computer Engineering, Birla Vishvakarma Mahavidyalaya, V.V. Nagar, Gujarat, India Author

DOI:

https://doi.org/10.32628/IJSRSET2512549

Keywords:

Gym Management System, MERN Stack, Fitness Tracking, Membership Automation, Full-Stack Development

Abstract

The health and fitness industry is undergoing rapid digital transformation, with a growing demand for efficient tools to manage memberships, workout planning, and progress tracking. Traditional paper-based or spreadsheet-driven gym management methods often result in inefficiencies, human error, and limited engagement between trainers and members. This paper presents the design and implementation of a full-stack Gym Management System (GMS) developed using the MERN stack (MongoDB, Express.js, React.js, Node.js). The system integrates modules for user registration, membership renewal, fitness testing, workout planning, and historical progress tracking. Experimental evaluation demonstrates that the system enhances administrative efficiency, reduces membership churn through automated alerts, and provides transparent data access for both trainers and members. Results confirm the effectiveness of the proposed solution, and future enhancements such as mobile support, integration with wearable devices, and payment gateways are discussed.

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References

P. Emberson, R. Stafford, and R. Davis. Techniques for the synthesis of multiprocessor task sets. Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems, 2010.

K. Lee, S. Paik, and J. Kim. Web-based fitness applications: A review. Journal of Health Informatics, 15(3), 211–220, 2019.

C. Chiu, Y. Lin, and C. Tang. Mobile health apps: Usability evaluation and user engagement. International Journal of Medical Informatics, 126, 2019, pp. 95–105.

B. Brandenburg. Scheduling and Locking in Multiprocessor Real-Time Operating Systems. PhD Thesis, UNC Chapel Hill, 2011.

V. Gupta, R. Kumar, and S. Bansal. IoT-based smart gym system: A framework for monitoring and fitness management. International Journal of Advanced Computer Science and Applications, 11(5), 2020, pp. 354–360.

T. Nguyen and Y. Chen. Mobile fitness platforms with wearable device integration: Opportunities and challenges. IEEE Access, 8, 2020, pp. 154345–154358.

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Published

10-09-2025

Issue

Section

Research Articles

How to Cite

[1]
Ali Hasan, Nihal Patel, and Mohsin Hasan, “A Full-Stack Gym Management System for Fitness Centers Using MERN Architecture”, Int J Sci Res Sci Eng Technol, vol. 12, no. 5, pp. 70–75, Sep. 2025, doi: 10.32628/IJSRSET2512549.