Published on: April 2026
AUROMIND: AN INTELLIGENT CONVERSATIONAL SYSTEM FOR MENTAL HEALTH SUPPORT
Dipti Khandu Pachpute Komal Kesharinath Gharat
Article Status
Available Documents
Abstract
People are more likely to have mental health problems like stress, anxiety, and emotional fatigue because of the pressures of school, work, and social life. It is important to give emotional support right away, but many people don't want to get professional help because of stigma or barriers to getting help. This study presents Auromind, an AI-driven conversational system aimed at delivering digital emotional support via chatbot interaction. The system lets people talk about their feelings and get support in a safe and private space. A user perception study was performed to examine attitudes regarding AI-driven mental health support systems, emphasizing stress experiences, comfort in engaging with conversational agents, and the significance of privacy in digital therapy platforms. The results show that conversational AI technologies can make emotional support more available and may make people more willing to talk about their mental health problems. The suggested system shows how AI-powered chat technologies could help people with their mental health and make it easier for them to get digital mental health help.
How to Cite this Paper
Pachpute, D. K. & Gharat, K. K. (2026). Auromind: An Intelligent Conversational System for Mental Health Support. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.404
Pachpute, Dipti, and Komal Gharat. "Auromind: An Intelligent Conversational System for Mental Health Support." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.404.
Pachpute, Dipti, and Komal Gharat. "Auromind: An Intelligent Conversational System for Mental Health Support." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.404.
Search & Index
References
- World Health Organization. (2022). World mental health report: Transforming mental health for all. World Health Organization.
- Miner, A. S., Milstein, A., & Hancock, J. T. (2017). Talking to machines about personal mental health problems. Jama, 318(13), 1217-1218.
- Provoost, S., Lau, H. M., Ruwaard, J., & Riper, H. (2017). Embodied conversational agents in clinical psychology: a scoping review. Journal of medical Internet research, 19(5), e151.
- Inkster, B., Sarda, S., & Subramanian, V. (2018). An empathy-driven, conversational artificial intelligence agent (Wysa) for digital mental well-being: real-world data evaluation mixed-methods study. JMIR mHealth and uHealth, 6(11), e12106.
- Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR mental health, 4(2), e7785.
- Bickmore, T. W., & Picard, R. W. (2005). Establishing and maintaining long-term human-computer relationships. ACM Transactions on Computer-Human Interaction (TOCHI), 12(2), 293-327.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 16 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.