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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM34191

VIRTUAL FITNESS TRAINER

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM34191

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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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

MKGH

Mr.Shyam Kashyap G H

MR

Mr.Prashanth R

MC

Mr.N Charitarth

MNPJ

Mr. Naveenth Prathik J

D.MA

Dr . Muzameel Ahmed

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Abstract

The ”Virtual Fitness Trainer” project develops an interactive health application using Python Flask, integrating deep learning for posture detection and correction, symptom- based disease prediction, and personalized fitness guidance. Objectives include high accuracy in disease prediction, real-time posture analysis, personalized video recommendations, and a user-friendly interface. Machine learning predicts health conditions from user symp- toms, while Mediapipe enables real-time posture analysis. Users get instant feedback on posture correctness and personalized improvement suggestions. Results show accurate disease prediction, effective posture correction, and tailored fitness recommendations, highlighting the project’s potential to enhance personalized healthcare and promote proactive health management.

KEYWORDS

Mediapipe OpenCV Python Flask frontend SQLite.

Cite This Article

Mr.Shyam Kashyap G H, Mr.Prashanth R, Mr.N Charitarth, Mr. Naveenth Prathik J, Dr . Muzameel Ahmed, "VIRTUAL FITNESS TRAINER," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024.

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Publication Date

6/15/2024

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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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