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@article{177548,
        author = {Hariom Upadhyay and Tanish Tyagi and Tarun Kumar and Sangam Panchal and Sanskriti Sharma},
        title = {Utilizing Data Analytics for Stress-Conscious Fitness Planning:ACase Study Based on FitIndia},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1656-1659},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177548},
        abstract = {In recent times, emotional stress—particularly anxiety and collapse—has risen significantly across age groups due to changing cultures, increased screen time, and reduced physical activity [7]. This study analyzes 15 days of wellness data from 15 individuals, focusing on hours of sleep, calories burned, and perceived stress levels (categorized as high, moderate, or normal). Prior studies have shown that sleep quality is closely related to physical activity, stress levels, and metabolic outcomes [1], [3], [4]. Our analysis revealed four key insights: (i) sleep vs. calories burned, (ii) calories burned vs. stress, (iii) sleep vs. stress, and (iv) their combined effect on stress. Bar chart visualizations indicated that adequate sleep and physical exertion may lower stress, consistent with findings on energy balance [3], occupational stress [5], and student fitness behaviour [7]. These insights will inform the FitIndia web platform, which will offer personalized dashboards, real-time health visuals, and smart wellness tools to enhance well-being.},
        keywords = {Stress Management, Fitness Planning, Data Analytics, Web-based Survey, FitIndia, Emotional Well-being.},
        month = {May},
        }