Digital Platform for Mental Health and Well-Being of University Students – A Case Study
University students often face significant mental health challenges, including stress, anxiety, depression, and academic burnout. However, many hesitate to seek help due to stigma, lack of awareness, or limited access to support services. Traditional mental health systems within universities are often fragmented, manual, and unable to meet rising demand efficiently. This project proposes a digital solution in the form of a mobile application developed using Microsoft Power Platform to enhance and streamline the delivery of mental health services for university students. The app consolidates key features such as psychological self-assessment tools, counselling session bookings, and access to mental health resources into a single, user-friendly platform. Data collected from user interactions are integrated with a Power BI dashboard, enabling mental health professionals to track trends, assess student needs, and make timely, data-driven decisions. By lowering the barriers to access and enabling early intervention, the app empowers students to take charge of their mental well-being. It also improves service efficiency for counselling teams by reducing administrative burdens. Designed with scalability in mind, this solution can be adapted by universities across different regions, offering a low-cost, low-code platform that integrates easily into existing institutional ecosystems. Beyond campus use, the solution has commercialization potential through partnerships with educational institutions, student wellness organizations, and government health initiatives. It aligns with the global push for digital health and the United Nations Sustainable Development Goal 3: Good Health and Well-being. Overall, this project demonstrates how digital innovation can make mental health support more accessible, proactive, and centered on students in higher education.
Institutions
- Universiti Teknologi Petronas (MY)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-28
- DOI
- https://doi.org/10.5281/zenodo.16973747
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00