The corona virus illness 2019 (COVID-19), which began out on the stop of 2019, had a sizeable impact on the arena and keeps to pose a chance to human health. It's none the less going study in numerous international locations and has value a variety of lives and property. In this study, we describe a Deep Conv-Dilated Net-primarily based totally method for finding and diagnosing Pneumonia in chest X-ray (CXR) pictures. Faster R-CNN with tiers is used because the community's structure. To keep the deep capabilities and positional records of the object, the Feature Pyramid Network (FPN) is merged into the final neural community of a dilated bottleneck. When given affected person X-rays, deep getting to know model automation the process and assure prompt, skilful, and ready results. After the picture is fed thru a sequence of convolutional and max pooling layers which might be activated via way of means of the usage of the ReLU activation function, that is then fed into the neurons gift withinside the dense layers, and finally, the output neuron is activated via way of means of the sigmoidal function, the classification takes place. As the version improves and decreases loss on the identical time, accuracy rises. By acting facts augmentation earlier than becoming the version, overfitting is avoided. Thus, the recommended deep learning model produce powerful and persuasive outcomes.