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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65397

Cloud Robotics-based AI-powered digital fitness trainer as a doctor

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65397

Volume:

10 |

6 |

Jun 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65397

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Ravi Kumar

Ravi Kumar

Computer science engineering

Jagannath University, Jaipur, Rajasthan

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Mentors

PRB

Prof.(Dr.) Renu Bagoria

Computer science engineering

Jagannath University, Jaipur, Rajasthan

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Abstract

The way people take care of their health is changing because of fitness software, nutrition software and workout software. These software programs are really helpful. They use methods to assist users. This application helps people look at fitness and nutrition in a way. It helps people by including things like health checks. It also gives them diet and exercise plans based on their health history and information. They get reports to look at. Companies use information from these apps to find groups of people and make offers to them. The software uses information to give people updates about their health. People can use app information to make decisions about their health. The information from fitness apps helps people understand their health. This understanding helps them make choices. The software gives people a picture of their health. It uses information to give people what they need to stay healthy. Fitness software and nutrition software give people tools to take care of their health. The information from these apps helps companies understand their users. It also helps them decide what to do.

KEYWORDS

AI-Powered Digital Fitness Trainer

Cite This Article

Ravi Kumar, Prof.(Dr.) Renu Bagoria, "Cloud Robotics-based AI-powered digital fitness trainer as a doctor," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-4, Jun 2026. https://doi.org/10.55041/IJSREM65397

Full Article/Conclusion

A customised health app that uses intelligence has been developed to improve a person’s emotional well-being. This helps humans live a life by taking care of their physical and mental health. Chatbot apps and virtual helpers are becoming popular. They are also helping people stay healthy. These chatbot apps are really helpful.  * Customer service chatbots answer questions from people. * This helps human agents focus on tasks that need to be done. *There are sports apps out there, but also cheaper ones that do the same thing. * Yoga notch is an app that uses a sensor to help with yoga practice. * Fit uses your phone's camera to record videos of your progress.  The FNW app offers a solution for diet planning, exercise tracking and personal fitness monitoring. It is really helpful for people who want to stay fit.  * It creates a customised diet plan using intelligence. * It has integrated exercises and a chatbot called Fit-Bot that serves as a coach to help users. * The app provides a fitness experience for each user. The app takes into account user preferences. Works towards comprehensive personal health goals. It is designed to help people achieve their fitness goals.  * It fills the gap in systems by combining nutrition and fitness tools in one place. * The shared interface allows users to interact with the app for both fitness and nutrition purposes.

References

[1] G. Sailaja, R. Daniel Nicolas, M. Irfan, and P. Aditya Sriram, "FNW Fitness Nutrition & Workout Application," International Journal of Progressive Research in Engineering Management and Science (IJPREMS), vol. 4, no. 11, pp. 2301-2306, Nov. 2024. doi: 10.58257/IJPREMS37264.   [ Journal of Computer Applications, vol. 183, no. 42, pp. 15-20, 2023.   2] A. Sharma and R. Gupta, "Artificial Intelligence-Based Fitness and Nutrition Recommendation System," International   [3] S. Kumar, P. Verma, and N. Singh, "Smart Health Monitoring and Workout Recommendation Using Machine Learning" International Journal of Engineering Research & Technology (IJERT), vol. 12, no. 5, pp. 101-106, May 2023.   [4] M. Reddy and K. Prasad, "Al-Powered Personalised Diet and Fitness Tracking Application," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9, no. 4, pp. 210-216, 2023.   [5] R. Patel and D. Shah, "Machine Learning Approach for Personalised Nutrition and Exercise Planning," International Research Journal of Modernisation in Engineering Technology and Science, vol. 5, no. 7, pp. 3345-3351, Jul. 2023. [   6] P. Nair and S. Joseph, "Health and Fitness Monitoring System Using Artificial Intelligence," International Journal of Advanced Research in Science, Communication and Technology, vol. 3, no. 6, pp. 455-460, 2022.

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Publication Date

6/24/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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