The project is to classify pneumonia by processing the image of chest X-ray using diverse deep learning algorithms. For classification purpose, we have to develop an algorithm which can most accurately predict on a validation set of chest X-rays. Deep learning is very helpful in automatically discovering chest diseases at the experts level, providing the two Liberian radiologists with some respite and used for saving countless lives potentially worldwide. The problem is solved using Convolution neural networks[9]. Convoluted neural networks are used to classify where each neuron is tightly connected to other neurons. Inception network was used in the development of CNN classifiers. Inception network was heavily engineered. It used a lot of tricks to improve performance in terms of speed and accuracy. With much more robust and large dataset our project can intervene in all domains.