Survey on Role of Artificial Intelligence in Future Fitness Services

Authors

  • Kowsalya Assistant Professor, Department of CSE, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India. Author
  • Karthik S UG - Information Technology, Department of CSE, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India. Author
  • Mathan P UG - Information Technology, Department of CSE, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India. Author
  • Ohm Prakash UG - Information Technology, Department of CSE, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0088

Keywords:

CNN Algorithms, Media pipe, Open CV, Object Detection, Image Processing AI, Fitness, Health

Abstract

This Project is a future of fitness is being transformed by deep learning with CNN algorithms, leveraging technologies like MediaPipe and OpenCV for pose estimation. These tools enable real-time tracking of body movements, allowing for precise analysis of posture, form, and exercise performance. By integrating AI, personalized workout recommendations and injury prevention are enhanced. This revolutionizes fitness apps, offering tailored training experiences, progress tracking, and remote coaching, all through automated motion capture systems. It provides an engaging and immersive fitness experience that encourages physical movement and improves overall health.

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Published

2025-03-19