AI-Counsellor Using Emerging Technique

Author:

Anamika ,Ms. Sana Rabbani ,Dr. Yusuf Perwej

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.

Publisher

Technoscience Academy

Reference30 articles.

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2. Kajal, Neha Singh, N. Akhtar, Ms. Sana Rabbani, Y. Perwej, Susheel Kumar, “Using Emerging Deep Convolutional Neural Networks (DCNN) Learning Techniques for Detecting Phony News”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), Volume 10, Issue 1, Pages 122-137, January-February 2024, DOI: 10.32628/CSEIT2410113

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