Enhancing Virtual Assistance for Mental Health Support
Ankit Baghel1, Akansha Pawar2, Janvi Hatwar3, Devansh Shrivastav4, Shruti Thakur5
1Ankit Baghel, UG Student, G H Raisoni College of Engineering, Nagpur (Maharashtra), India.
2Akansha Pawar, UG Student, G H Raisoni College of Engineering, Nagpur (Maharashtra), India
3Janvi Hatwar, UG Student, G H Raisoni College of Engineering, Nagpur (Maharashtra), India
4Devansh Shrivastav, UG Student, G H Raisoni College of Engineering, Nagpur (Maharashtra), India
5Dr. Shruti Thakur, Assistant Professor, G H Raisoni College of Engineering, Nagpur (Maharashtra), India
Manuscript received on 20 March 2025 | First Revised Manuscript received on 29 March 2025 | Second Revised Manuscript received on 20 April 2025 | Manuscript Accepted on 15 May 2025 | Manuscript published on 30 May 2025 | PP: 21-24 | Volume-5 Issue-4, May 2025 | Retrieval Number: 100.1/ijpmh.D107105040525 | DOI: 10.54105/ijpmh.D1071.05040525
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project’s objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes, as well as exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providing coping strategies, emphasizing their role in accessibility and anonymity. Furthermore, the research explores ethical considerations, including data privacy, the importance of human oversight, and the potential for virtual assistants to complement traditional therapeutic practices. The increasing demand for mental health support has led to the exploration of innovative solutions, with virtual assistance emerging as a promising avenue. This paper examines the enhancement of virtual assistants in providing mental health support by integrating advanced technologies such as natural language processing (NLP) and machine learning (ML). These systems can offer personalized responses and resources tailored to individual needs by analyzing user interactions and emotional cues.
Keywords: Virtual Assistance, Efficient Conversation, Connection with A Psychiatrist, and Regular Symptom Tracking.
Scope of the Article: Maternal Health