Citation :

Adannaya Uneke Gift-Adene, Ukegbu Chibuzor C, Oliver Ifeoma C, Gift Adene, 2024. "An Artificial Intelligence Mental ChatBot Consultant System for Depressed Patients" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 2: 67-73.

Abstract :

The development of a chatbot consultant for depressed patients is an exciting area of research that can help improve access to mental health services. This work outlined the design and implementation of an intelligent chatbot consultant for depressed patients. Chatbots are automated computer programs that are able to hold, e.g., a script-based conversation with a human being. Chatbots could contribute to the extension of health care services. The chatbot is based on natural language processing (NLP). NLP is used to analyze the conversation and extract context and sentiment from it. The aim of this project is to bridge the gap between depressed patients and therapists. This project was motivated by the increasing level of suicide been committed or attempted, to which is mostly linked to depressed patients. Effective studies were carried out and relevant psycho-therapist and patients in Enugu were interviewed. The findings revealed that patients avoid treatment because of lack of awareness and limited knowledge about depression. The system adopted the design thinking methodology (DT) while the programming tools used for the design were Python, Tkinter, NLTK and Sqlite database. Furthermore, the chatbot is designed to be a secure and private platform, protecting the patient's data and ensuring it remains confidential. Thus, by providing an accessible and effective service for depressed patients, the chatbot has the potential to reduce stigma and provide a more inclusive service for people seeking mental health support.

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Keywords :

Mental health, Chatbot, Depression, Therapy, Patient, Artificial Intelligence.