1Esmatullah Sabet, 2Sayed Shafiullah Sadat, 3Hasib Ahmad Khaliqi
1,3Lecturer at Parwan University, Parwan, Afghanistan
2Lecturer at Polytechnic University, Kabul, Afghanistan
DOI : https://doi.org/10.47191/ijmra/v7-i05-28Google Scholar Download Pdf
ABSTRACT:
Artificial intelligence increasingly integrates our daily lives with the creation and analysis of intelligent software and hardware, called intelligent agents. Intelligent agents can do a variety of tasks ranging from labor work to sophisticated operations. A Chatbot is a typical example of an artificial intelligence system. For developing artificial intelligence Chatbot, we have implemented encoder-decoder attention mechanism architecture memory cells, TFIDF (term frequency-inverse document frequency) algorithm and LLM (Large Language Module). To conduct this research, mixed methods research could involve combining both qualitative and quantitative methods to provide a more comprehensive understanding of the research topic. Survey utilized as the main methods for collecting the primary data and reviewed the existing literature for collecting the secondary data in this research. The data was collected from 18 participants, including medical doctors, patients, lecturers and university students in Afghanistan. Additionally, secondary data was obtained through a review of literature from other countries that have faced similar situations. Moreover, the analysis reveals a widespread belief among respondents that the implementation of AI based Chatbot for Afghanistan healthcare service in mental health disorder will contribute to reduce illness in Afghanistan.
KEYWORDS:Artificial Intelligence (AI), Chatbot, TFIDF (term frequency-inverse document frequency), Afghanistan.
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Volume 07 Issue 05 May 2024
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