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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Gym Management System Using Python Django

Authors: Prof. Keerthana Shankar,Amruta Talawar, Bheemamma. G ,Ankita, Dhanamma. K. O;

Gym Management System Using Python Django

Abstract

Abstract An inventive software program called the Gym Management System (GMS) was created to maximize and simplify the functioning of gyms and fitness centers. In a time when fitness and health are more important than ever, effective management tools are essential. By making use of the Django web framework, this project makes it possible to create a solid, user-friendly platform that meets the various needs of gym management, employees, and patrons. The GMS includes all of the necessary features, including Add member, payment process, diet plan, diet chat, add equipment, Add enquiry. The initiative intends to increase member involvement and operational efficiency by combining these features into a single system. The fitness sector has grown quickly, and this has made effective gym management systems more and more necessary. Conventional methods of managing gyms, which frequently depend on manual procedures, are ineffective and prone to mistakes, especially when the number of memberships and services offered increases. The design, development, and implementation of a comprehensive Gym Management System (GMS) are presented in this paper. The GMS automates a number of operational tasks, including Add member, payment process, diet plan, diet, add equipment, Add enquiry. Through the use of an intuitive interface, the suggested system seeks to increase data accuracy, optimize member experience, and streamline administrative processes. Keywords: Gym Management System, Django web framework, operational efficiency

Keywords

Gym Management System, Django web framework, operational efficiency

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green