The world is battling the pandemic of Covid-19 at the moment and even after 3 years of Covid pandemic our technology still is not fairly advanced to tackle the battle against this virus in the most efficient way. Covid cases over the entire world as of now has crossed the 420 million marks with the deaths tallying up to 5.8 million. The Covid virus infects a person with several types ofsymptoms, one such symptom is pneumonia. A person who is having Pneumonia might or might not be having the Covid virus with him/her. This project is tar- geting to filter out the patient X-Rays who have pneumonia and our subjected to have the Corona Virus as well. This system is based on Deep Learning and the method of Convolutional Neural Networks is applied over it. The project is briefly compiled and has a lot of pre-processing to deal with. The project is done with additional help from the frameworks Tensorflow and keras. Firstly, the im- ages are loaded into the compiler and then they are cleaned and pre-processed accordingly. The next comes up with setting up the neural network layer. The CNN layer is built and a special activation function ReLu is applied over it. Fi- nally, the model is trained and a classification is done to find whether the patient X- Ray is only for pneumonia or its of Pneumonia + Covid. The project has an accuracy of over 96% to 98%