AUTOMATED COVID-19 SYMPTOMS PREDICTION USING MACHINE LEARNING

Abstract

Covid-19 has been the center of attention of the world since the end of 2019 due to the nature of its effect of the human race as a whole. Not only in the medical field, it has also affected the economic as well as social lives of billions of people around the world and may arguably be the most devastating epidemic in the recent century. Hence, the human race has gotten together in an attempt to prevent the spread of the virus and to find a cure for it as soon as possible. Many scholars and individuals from many fields have been working non-stop to help ease the situation. Similar work is being done in the field of Data Science and Machine Learning. As for this field, various Models and algorithms have been developed and implemented of various different datasets. Some of these models have been implemented using Deep Neural Network. We will try to attempt some of the models and fine tune in a way to achieve maximum efficiency. These will be measured using Recall, Accuracy, Precision and Loss and then the results of these combinations can be useful for custom based situations.