Soulease: A Mind-Refreshing Application for Mental Well-Being

Prasanna Lohe*, Sameer Tembhurney**, Pooja Namdeo***, Pranav Gosatwar****, Hrutuja Dhoble*****, Om Charthal******, Abhit Rajkumar*******
*-******* Department of Computer Science and Engineering, S. B. Jain Institute of Technology, Management and Research, Nagpur, India.
Periodicity:October - December'2024

Abstract

The major factors affecting mental health and well-being globally include depression, anxiety, and stress. These significant issues pose a serious threat to an individual's mental well-being. However, they can be addressed through modern technological solutions. To address these challenges, Soulease, a mobile platform, was developed to provide support and information to individuals facing mental health concerns. This paper explores Soulease by detailing its development, key features, and the potential impact on users' mental well-being. The study also evaluates how the platform aligns with its objectives and optimizes the user experience to enhance its effectiveness. The study findings indicate that easy to use interface; availability of multiple resources; supportive features and tools enable the users of the platform to better navigate mental health issues and build positive coping mechanisms within the wellness domain. Further, the paper analyzes how psychological underpinnings of Soulease were informed and used with cues from CBT, K10, K7, LSTM, Natural Language Processing (NLP), machine learning approaches and positive psychology. Being evidence-based, Soulease connects clients with mental health management and support solutions such as mood logging, mindfulness exercises, and cognitive re-scripting based on their individual conditions.

Keywords

Cognitive-Behavioral-Therapy (CBT), Digital Mental Health Interventions, Long Short Term Memory (LSTM), K7, K10, Natural Language Processing (NLP).

How to Cite this Article?

Lohe, P., Tembhurney, S., Namdeo, P., Gosatwar, P., Dhoble, H., Charthal, O., and Rajkumar, A. (2024). Soulease: A Mind-Refreshing Application for Mental Well-Being. i-manager’s Journal on Software Engineering, 19(2), 11-23.

References

[4]. Baheti, R. R., & Kinariwala, S. (2019). Detection and analysis of stress using machine learning techniques. The International Journal of Engineering and Advanced Technology (IJEAT), 9(1), 335-342.
[8]. Divya, V. (2023). A Study on Stress Management-Hero. ResearchGate.
[11]. Jumaa, J. A. (2023). Global Mental Health & Wellbeing – A Crosscutting Issue. ResearchGate.
[14]. Kulratan. (1980). Mental Health Research in India. Scribd.
[16]. Man, C., Nguyen, C., & Lin, S. (2014). Effectiveness of a smartphone app for guiding antidepressant drug selection. Family Medicine, 46(8), 626.
[22]. Sharma, D., Kapoor, N., & Kang, S. S. (2020). Stress prediction of students using machine learning. International Journal of Mechanical and Production Engineering Research and Development, 10(3), 5609–5620.
[25]. Swathiga, U. U. A. S., Vinodhini, P., & Sasikala, V. (2021). An interpretation of dart programming language. DRSR Journal, 11(3), 144-149.
[26]. Tembhurney, S., & Arjariya, T. (2023). Building resilient and trustworthy voting systems with ethereum blockchain technology. International Journal of Advance Research and Innovative Ideas in Education, 9 (3), 532-537.
[28]. Vaikole, S., Mulajkar, S., More, A., Jayaswal, P., & Dhas, S. (2020). Stress detection through speech analysis using machine learning. International Journal of Creative Research Thoughts, 8(5), 2239-2246.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.