Smart Stress Management: An AI‑Enabled Learning Model for Youth Mental Health in the Digital Era

Authors

  • Dr. TrinadhaRaoChalla Associate Professor Dept., of MBA, Miracle Educational Society, Group of Institutions, Bhogapuram, Vizianagaram, A.P. Author
  • Dr. Vamsi Krishna Raja Director Innovations, Pydah College of Engineering, Kakinada, A.P. Author

DOI:

https://doi.org/10.63282/3050-922X.ICAILLMBA-113

Keywords:

Student Stress, Exam Pressure, Suicides, Psychosocial Stressors, NCRB, Anxiety, Supreme Court Directives

Abstract

The psychological well-being of students in India has emerged as a national concern, with growing evidence from media reports, institutional observations, and statistical trends indicating rising stress, anxiety, and sociality. This study synthesizes Telugu media content, National Crime Records Bureau (NCRB) data, institutional reports, and a primary survey of 225 teachers and parents to examine the psychosocial stressors affecting Indian students. A mixed-method analytical approach was used, integrating descriptive statistics, chi-square goodness-of-fit tests, confidence intervals, and socio-psychological theoretical frameworks. Results reveal a 64% increase in student suicides between 2013 and 2022, an estimated 35 suicides daily, and exam pressure as the dominant stressor (60%). Survey findings indicate that 78.2% of respondents frequently observe student stress, 78.2% report increasing stress levels, and 68.9% state that no formal mental-health support system exists in institutions. Chi-square tests confirm statistically significant non-uniform patterns in stress observations, stress growth, stressors, support systems, and need for scientific interventions (p < 0.001). The findings, contextualized with recent Supreme Court directives on student mental health, underscore the urgent need to integrate structured stress-reduction programs, institutional counseling, and policy-level mental-health frameworks in educational settings. The study concludes that student stress in India constitutes a public mental-health emergency requiring immediate academic, familial, and policy interventions.

References

[1] APA India (2023). Campus Mental Health Survey.

[2] Ding, X., & Barbic, S. (2025). Perception of AI Use in Youth Mental Health Services: Qualitative Study. Journal of Participatory Medicine qualitative research on stakeholders’ views of AI integration and its opportunities/challenges

[3] Darcy, A. (2017+). Woebot Health: AI chatbot for mood/self-monitoring with CBT frameworks widely referenced in digital mental health studies.

[4] Mentis, A. F., Lee, D., & Roussos, P. (2024). Applications of artificial intelligence–machine learning for detection of stress: a critical overview. Molecular Psychiatry, 29, 1882–1894. DOI:10.1038/s41380-023-02047-6

[5] Mentis, A. F., Lee, D., & Roussos, P. (2024). Applications of artificial intelligence–machine learning for detection of stress: a critical overview. Molecular Psychiatry, 29, 1882–1894. DOI:10.1038/s41380-023-02047-6

[6] National Crime Records Bureau (2013–2022). Accidental Deaths & Suicides in India Reports.

[7] NIMHANS (2020). National Mental Health Survey.

[8] UNICEF (2021). State of the World’s Children Report.

[9] NCPCR (2018–2023). Reports on academic stress.

[10] WHO (2021). Adolescent Mental Health Statistics.

[11] Walambe, R., Nayak, P., Bhardwaj, A., & Kotecha, K. (2023). Employing multimodal machine learning for stress detection. arXiv preprint proposes multimodal AI approaches for stress monitoring.

[12] Supreme Court of India (2025). Judgment on Student Suicides and Academic Stress.

[13] https://pmc.ncbi.nlm.nih.gov/articles/PMC12165596/

[14] https://www.jmir.org/2025/1/e69639

https://mental.jmir.org/2025/1/e70438

[15] https://pmc.ncbi.nlm.nih.gov/articles/PMC12165445/

[16] https://www.nature.com/articles/s41598-025-06918-

[17] https://www.linkedin.com/pulse/ai-stress-management-new-era-health-tech-rapidise-inc

[18] https://www.sciencedirect.com/science/article/abs/pii/S2352154624001037

[19] https://www.ijfmr.com/papers/2025/4/50598.pdf 9. https://www.solhapp.com

[20] https://www.absorblms.com/blog/top-ai-learning-platforms

[21] https://dl.acm.org/doi/10.1145/3748699.3749779

[22] https://www.sciencedirect.com/science/article/pii/S2666659625000150

[23] https://www.emerald.com/mhdt/article/2/3/157/1271035/Digital-mental-health-for-young-people-sustain ably

[24] https://www.apa.org/topics/artificial-intelligence-machine-learning/health-advisory-chatbots-wellnessapps

[25] https://www.sciencedirect.com/science/article/pii/S2949916X24000525

Downloads

Published

2026-02-12

How to Cite

1.
Challa T, Raja VK. Smart Stress Management: An AI‑Enabled Learning Model for Youth Mental Health in the Digital Era. IJERET [Internet]. 2026 Feb. 12 [cited 2026 Feb. 12];:78-85. Available from: https://ijeret.org/index.php/ijeret/article/view/446