Title
: করোনা যাচাই: a Machine Learning Based Covid-19 Pre-testing & Information Platform
Description
: The goal of our project is to take input data from a person through our website, use a machine learning algorithm to analyze that data, and predict whether the person is at risk of Covid-19 or not. This is a form of pre-testing which will enable doctors to prioritize which patients to test first, and allow patients to know if it is necessary for them to go for a Covid-19 test.
Our project can be regarded as a classification problem, where the machine learning algorithm takes a particular set of input data (which are known as input features) from a person and then categorizes them into positive or negative classes. The set of input features we supplied to our machine learning algorithm are:
• Age
• Travel History
• The presence of symptoms such as fever, cough and sore throat, breathing problem etc.
Despite the lack of available data, our results are promising. The accuracy of our predictions is only likely to rise as we provide our system with better datasets. Therefore, with access to a wider set of information we are confident that we will be able to build a large scale fully functional implementation of our model project.
