The motivation of the project is to detect five to seven lung diseases using chest x-rays. Lung diseases include Asthma, tuberculosis, pneumonia, bronchitis, Chronic Obstructive Pulmonary Disease (COPD). In addition to it, in recent days, we are all scared of the word “corona”. Though there is the screen of blood and mucus for the test, the major test to confirm covid positive is – X-RAY. A further developed version of this model will help us in the diagnosis of covid from viral_pneumonia. The model involves two modules 1. segmentation - where FC descent 103 is used to get the segmented masks of lung and 2. resnet algorithm is used to predict the class of the diseases based on probability voting based on the k patches acquired in every image .saliency map used in it indicates the region where the lung areas are mostly affected.