EconPapers    
Economics at your fingertips  
 

AI-Counsellor Using Emerging Technique

Anamika, Sana Rabbani and Yusuf Perwej

International Journal of Scientific Research in Science and Technology, 2024, vol. 11, issue 3, 749-759

Abstract: Mental health is an integral part of overall well-being, encompassing emotional, psychological, and social well-being. It affects how we think, feel, and act. Yet, mental health concerns are on the rise globally. According to the World Health Organization (WHO), an estimated one in four people will experience a mental health condition in their lifetime. Depression, anxiety, and stress are amongst the most prevalent mental health issues. This paper aims to develop an AI Counsellor - a chatbot designed to use AI and ML capabilities to offer initial mental health support. Design the chatbot to understand user input effectively through sentiment analysis, intent recognition, and entity recognition. Finally develop a user-friendly interface for text-based interaction with the AI-Counsellor.

Keywords: Artificial Intelligence; Symptoms; Machine Learning; Healthcare; Conversation; Chatbot; Mental Health (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST24113237 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST24113237/IJSRST24113237 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v11:y2024:i3:id:241

DOI: 10.32628/IJSRST24113237

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().

 
Page updated 2026-07-27
Handle: RePEc:etm:ijsrst:v11:y2024:i3:id:241