GYM Management System: Intelligent Computer Interaction

The Online Gym Management System is a web-based application developed using Python and Django, aimed at streamlining the operations of a fitness center. This system offers a comprehensive solution for gym owners, trainers, and members to efficiently manage various aspects of gym activities. The primary objectives of the project include member and trainer management, class scheduling, and payment processing. The system ensures a user-friendly interface for members to register, book classes, and track their fitness progress. Trainers can manage their schedules, monitor member progress, and provide personalized training plans. Key features of the system include secure user authentication, a robust database design with an emphasis on relationships, and a responsive user interface for seamless navigation. The application incorporates industry-standard security measures to protect user data and maintain confidentiality. The project follows the Model-View-Controller (MVC) architecture, utilizing the Django framework. Database design is implemented through an Entity-Relationship Diagram (ERD), providing a structured and scalable foundation. The deployment process involves hosting on a reliable platform with considerations for production settings. Through rigorous testing, including unit testing, integration testing, and user acceptance testing, the system has been validated for reliability and performance. The report discusses the development process, challenges faced, and lessons learned during the implementation

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-20
DOI
https://doi.org/10.5281/zenodo.15702177
Primary Topic
Environmental Engineering and Cultural Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

GYM Management System: Intelligent Computer Interaction

Zenodo (CERN European Organization for Nuclear Research)
Environmental Engineering and Cultural Studies
article

GYM Management System: Intelligent Computer Interaction

article en

Abstract

The Online Gym Management System is a web-based application developed using Python and Django, aimed at streamlining the operations of a fitness center. This system offers a comprehensive solution for gym owners, trainers, and members to efficiently manage various aspects of gym activities. The primary objectives of the project include member and trainer management, class scheduling, and payment processing. The system ensures a user-friendly interface for members to register, book classes, and track their fitness progress. Trainers can manage their schedules, monitor member progress, and provide personalized training plans. Key features of the system include secure user authentication, a robust database design with an emphasis on relationships, and a responsive user interface for seamless navigation. The application incorporates industry-standard security measures to protect user data and maintain confidentiality. The project follows the Model-View-Controller (MVC) architecture, utilizing the Django framework. Database design is implemented through an Entity-Relationship Diagram (ERD), providing a structured and scalable foundation. The deployment process involves hosting on a reliable platform with considerations for production settings. Through rigorous testing, including unit testing, integration testing, and user acceptance testing, the system has been validated for reliability and performance. The report discusses the development process, challenges faced, and lessons learned during the implementation

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Environmental Engineering and Cultural Studies
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GYM Management System: Intelligent Computer Interaction · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS