International Journal of Science, Engineering and TechnologyAuthors: Siddhi Umesh Kurhade, Vedant Santosh Kokane, Bhumika Sunil Temkar, Payal Ashok Ware, Prof. Khatal K. B.
Abstract: Mental health disorders are rapidly increasing among students and working professionals due to stress, anxiety, workload imbalance, and lifestyle challenges. Traditional mental health monitoring approaches mainly depend on counseling sessions and manual observation, which often lack continuous tracking and accessibility. This research presents the design, development, implementation, and result-based evaluation of a full-stack Mental Health Tracker Application developed using Java Spring Boot, React.js, and MySQL. The system enables users to record daily moods, maintain emotional journals, monitor behavioral patterns, and analyze emotional trends using dashboard analytics. Experimental anal-ysis was conducted using 50 participants over a testing duration of 14 days. The system demonstrated 92% user satisfaction, 95% reliability, 98% uptime, and improved user engagement in emo-tional self-monitoring activities. Performance testing showed low API response time and efficient database operations. The research findings indicate that full-stack web technologies can effectively support digital mental health monitoring and emotional wellness management.
DOI: https://doi.org/10.5281/zenodo.20439509
