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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44973

AI Based Personal Fitness Trainer

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44973

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

SI

Soham Ingle

RM

Ruchita Mhatre

SP

Sakshi Pawar

PJG

Prof. Jyoti Gurav

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Abstract

The advent of Artificial Intelligence (AI) has revolutionized various sectors, and the fitness industry is no exception. This project presents an AI-powered personal fitness trainer that aims to provide personalized workout and nutrition plans tailored to individual user needs. By leveraging machine learning algorithms, real- time data analytics, and user feedback, the system continuously adapts to the progress and fitness goals of the user. The AI trainer employs computer vision to analyse workout performance, monitors exercise form, and offers corrective suggestions, all while ensuring user safety. This system integrates with wearable devices to track physical activity, health metrics, and recovery patterns, offering a holistic approach to fitness. The proposed solution not only enhances workout efficiency but also provides motivation and accountability, ensuring users maintain long-term engagement with their fitness journey.

KEYWORDS

Artificial Intelligence Personal fitness trainer smart health monitoring system Real-time fitness trainer Motion detection Virtual workout assistance.

Cite This Article

Soham Ingle, Ruchita Mhatre, Sakshi Pawar, Prof. Jyoti Gurav, "AI Based Personal Fitness Trainer," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025.

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Publication Date

4/19/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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