COVID-19
is a highly contagious disease, and has become a global epidemic
that needs to be addressed as soon as possible. Due to its rapid
speed of spreading comes the need for a system which can be used
to detect the virus.
With the increase in use of technology, lots
of data about COVID-19 is readily available at our fingertips,
which can be used to obtain important information about the
virus. In this project, we compared the accuracies of different
machine learning algorithms in predicting COVID-19 and used
the most accurate one in the final model testing.
This is a machine learning model which will predict that you have covid-19 or not.It is based on Random Forest Classifier Algorithm.
To know more about the algorithm and processing of the model please visit our github repository.
Please go through our documentation to understand the logic of our machine learning model's algorithm.