Developing Covid-19 Patients Nutrition Assistance Chatbot System

Abstract

Covid-19 has touched almost all of the world’s population lives and still a lot of people are being affected throughout the world including our country Ethiopia. Chatbot systems are becoming an emerging technology and are supporting individuals and experts in health sectors. The objective of this study is to develop nutrition assistance Chatbot system for Covid-19 patients that can recommend the type and quantity of foods the patients should take by collecting different parameters from the patients as an input. In this research the researcher motivated by that no research work has been conducted using this method and conducted research paper aims to address the challenges posed by the COVID-19 pandemic. The researcher Focused on the nutritional aspects and the development of a Chatbot system to assist patients, medical professionals, and researchers. Since there is no nutritional recommendation found on patient’s records the researcher collected the data from medical doctors, nurses and nutritionists from Jimma University Health center and World Health Organizations nutritional recommendations were collected to prepare a total of 933 dataset which is organized as a JavaScript Object Notation file. The collected data’s were nutritional recommendations for Covid-19 patients. These data’s were collected by interviewing the medical doctors and nutritional recommendations from world health organization. The model training process utilized the Convolutional Neural Network architecture; with hyper parameter tuning achieved a training accuracy of 99.55%. Overall the developed system is effective in for recommending nutritional intakes for the COVID-19 patients. The feedback received from domain experts further validated the system's performance, indicating its potential utility in providing accurate and relevant nutritional recommendations. The researcher is now working on post editing to enhance the performance of the Chatbot system to give better service for the users.