A Machine Learning Framework for Automated Detection of Perceived Stress in Female Students
Journal of Data Science and Intelligent Systems July 17, 2026 Kapil Gupta
Heartfulness meditation practiced for 20 weeks significantly reduces perceived stress and increases satisfaction with life among female students, regardless of age. Machine learning analysis of survey data from two age groups detected stress with up to 66.88% accuracy using a support vector machine classifier. The exploratory data analysis showed a meaningful decrease in stress levels and an increase in life satisfaction after the meditation period. The findings suggest that this meditation practice is an effective non-pharmaceutical approach to improving mental health.