Published Paper Details:

During this pandemic we have already lost many lives, and still count is increasing day by day. And WHO still worries that we are no where near to the end of this pandemic and this is highly likely that it will continue in future for may months . Since we know that in case of COVID-19 there is mild to extreme symptoms of pneumonia and these symptoms become life threatening in the end. The aim of this study is to simplify the process of detecting the COVID-19 and pneumonia using the concept called CNN (Convolutional Neural Network).In this we will extract out the features from the images, which will led the foundation for distinguishing between the pneumonia or COVID-19, and then those extracted feature set would pass through the classifier for the prediction . We will propose the highly optimized model , by keeping in mind that we are designing the solution for the mobile and low-end desktop devices with fairly good accuracy, so that everyone can use it , without having hustle of powerful computers to run the model.