Fit AI

  • Unique Paper ID: 176442
  • Volume: 11
  • Issue: 11
  • PageNo: 6075-6080
  • Abstract:
  • FitAI is an AI-powered fitness assistant that uses computer view to track and count push-ups in real time. The system utilizes a camera to capture the user's movements, processes the footage using AI-based pose recognition, and accurately counts each push-up. The goal of FitAI is to provide users with an automated and structured way to monitor their workout progress without the need for manual counting. This project aims to enhance fitness tracking through technology, making workouts more engaging and effective.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{176442,
        author = {B.Sowgandhika and Y.Srivanth and P.Akaash and V,Teja and B.Revathi and Baini Anusha Rani},
        title = {Fit AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6075-6080},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176442},
        abstract = {FitAI is an AI-powered fitness assistant that uses computer view to track and count push-ups in real time. The system utilizes a camera to capture the user's movements, processes the footage using AI-based pose recognition, and accurately counts each push-up. The goal of FitAI is to provide users with an automated and structured way to monitor their workout progress without the need for manual counting. This project aims to enhance fitness tracking through technology, making workouts more engaging and effective.},
        keywords = {efficiency , counting algorithm , CNN model , intensity.},
        month = {April},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 6075-6080

Fit AI

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