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.

@article{172135,
        author = {Aniket Rai and Vastav Gupta and Tanushree Anand and Akash N and Vijaylaxmi R Patail},
        title = {PlayFit - AI Based Virtual Trainer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2362-2365},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172135},
        abstract = {The increasing prevalence of sedentary lifestyles and the high cost of fitness services have created significant barriers to maintaining a healthy, active lifestyle, especially in rural or less urbanized areas. PlayFit is an innovative solution that addresses these challenges by merging physical fitness with interactive gaming. Using artificial intelligence (AI) and computer vision technology, PlayFit provides users with a unique platform that offers real-time posture correction and guidance while exercising at home. The system ensures that exercises are performed correctly, reducing the risk of injury, and enhancing the effectiveness of workouts, much like having a personal trainer. The platform transforms traditional gaming into a full-body experience, making physical activity more engaging and enjoyable. By incorporating full-body movement into gaming, PlayFit encourages users, especially younger generations, to stay active while playing their favourite games. It is designed to be accessible and affordable, targeting a broad demographic, including those in rural areas, homemakers, and individuals who struggle with conventional fitness routines.},
        keywords = {Computer vision, Media Pipe, OpenCV, virtual trainer},
        month = {January},
        }