The main goal of this project is to develop a software based on a novel mathematical framework that uses individual COVID-19 patient data to obtain accurate personalized treatment strategies. We aim to achieve this goal using an extensive pharmacokinetic model building, an optimal control approach for parameter estimation, and tools from statistical sensitivity analysis to devise new and efficient treatment strategies. Our proposed framework will be highly beneficial for health professionals to make fast and accurate decisions about treatment strategies, without the need for numerous clinical trials, thereby assisting the world in its fight against COVID-19.