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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64639

AN INTELIGENT COMPUTER VISION-BASED MULTI USER GYM MONITORING SYSTEM FOR TRAINER ASSISTANCE USING AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64639

Volume:

10 |

6 |

Jun 2026

Pages:

1-2

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64639

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

ADARSH C V

ADARSH C V

DEPARTMENT OF COMPUTER APPLICATION

NEHRU INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT

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MBC

MEERA BAI C

DEPARTMENT OF COMPUTER APPLICATION

NEHRU INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT

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Abstract

The growth of technology and artificial intelligence has changed healthcare and fitness. Old fitness training methods, like supervision or workout apps often lack real-time monitoring, personalized guidance and accurate posture correction. This can lead to workouts, less motivation and more injuries. To solve these problems, we present an AI Fitness Trainer System. It combines computer vision, machine learning and web technologies to provide a fitness platform.

KEYWORDS

real-time monitoring personalized guidance and accurate posture correction

Cite This Article

ADARSH C V, MEERA BAI C, "AN INTELIGENT COMPUTER VISION-BASED MULTI USER GYM MONITORING SYSTEM FOR TRAINER ASSISTANCE USING AI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-2, Jun 2026. https://doi.org/10.55041/IJSREM64639

Full Article/Conclusion

 This paper presented a gym monitoring system utilizing AI for real-time exercise recognition and trainer assistance effectively detecting multiple users recognizing exercises counting repetitions, evaluating posture and providing immediate feedback.

References

 This paper presented a gym monitoring system utilizing AI for real-time exercise recognition and trainer assistance effectively detecting multiple users recognizing exercises counting repetitions, evaluating posture and providing immediate feedback.

Editorial & Review Transparency

Publication Date

6/8/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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4

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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