Application for gym system management with analytics and prediction?
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The application for gym system management with analytics and prediction is a valuable tool for gym and fitness clubs. It allows managers to understand and predict user behavior, identify patterns, and take measures to extend users' membership . By analyzing health indicators and using deep learning and IoT technologies, a fitness and health management service system can be established. This system enables users to monitor, control, and improve their health status . Additionally, an information system in the form of a website can be developed to manage daily activities in a fitness center. It includes features for financial recording, visitor tracking, and predicting the number of visitors using forecasting methods . Furthermore, an RFID-enabled gym management system can track and trace the exercise status of members, apply exercise prescriptions, and enhance management efficiency . Overall, these applications provide valuable insights and tools for effective gym system management.
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
| The paper discusses a system and method of predictive analytics for adjusting fitness and well-being conditioning, but it does not specifically mention an application for gym system management with analytics and prediction. | |
| The provided paper discusses a RFID-enabled gym management system that allows the manager to track and trace the exercise status of members. However, there is no mention of analytics and prediction in the paper. | |
30 Nov 2020 | The provided paper is about the development of an information system for Body Gym Kota Malang. It includes features for financial recording, income graphs, visitor recording, PT requests, and data reports. It also uses the Double Exponential Smoothing method for predicting the number of visitors. However, it does not specifically mention the inclusion of analytics in the system. |
| The paper discusses the use of classification techniques to predict gym membership cancellations and provide information for gym managers to extend users' membership. | |
| The provided paper does not specifically mention an application for gym system management with analytics and prediction. |
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