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@article{188961,
        author = {Akhil Murali},
        title = {A STUDY OF AI-BASED PERSONALIZED FITNESS PROFILING IN SCHOOL CHILDREN WITH REFERENCE TO THRISSUR TOWN},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3796-3799},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188961},
        abstract = {Artificial Intelligence (AI) is increasingly used in sports and physical education to assess fitness, track progress, and provide personalized training feedback. This study aims to examine the effectiveness of AI-based personalized fitness profiling among school children in Thrissur town. A sample of 30 students aged 10–17 years will be evaluated using video analysis tools such as Coach’s Eye, Kinovea, and AI-driven fitness assessment applications. These tools will analyze movement, posture, balance, running, and flexibility to generate individual fitness profiles. The study uses both descriptive and experimental methods to understand improvements in performance and the accuracy of AI-based assessments. The findings are expected to show how AI can support physical education teachers in identifying strengths, weaknesses, and personalized training needs of children.},
        keywords = {Artificial Intelligence, Fitness Profiling, School Children, Video Analysis, Thrissur, Physical Education.},
        month = {December},
        }