The immense pressure and tension has created
in the worldwide healthcare systems by disease. Various
existing system has defined drug prediction system based
on current patient evaluation. In this research we
proposed a drug prediction for COVID-19 patient based on
protein to protein reactions and availability. In order to
evaluate the protein-protein interactions (PPIs) between
some of the virus and individual receptors that are also
confirmed utilizing biomedical simulations, the framework
also defines machine learning models. The classification
techniques are consistent with the predictions of separate
physical material sequence-based characteristics such as
classification of amino acids, distribution of pseudo amino
acids and conjoint triads. Finally we will evaluate the
system with numerous machine learning algorithm and
show the effectiveness of propose systems.