More than a year since the novel coronavirus was first discovered, its presence is still prevalent throughout the world. In such grave situations if technology can help humans combat the spread, then why not explore it. Therefore, keeping this in mind, several researchers have already started investigating artificial intelligence algorithms to find solutions to predict coronavirus using X-ray images of chest. But due to lack of dataset during the initial days of their research, many came up with framework using pre trained image classification models such as VGG-16, Inceptionv3, ResNet-50 and others. In this paper, the performance of two machine learning algorithms which are support vector machine and decision tree has been evaluated. Further developed deep learning model applying convolutional neural network to classify the chest x-ray images as covid-19 or normal. The final CNN model was also integrated with a user interface and hosted on web server for easy access which allows anyone to upload the chest x-ray image from his computer or mobile and check the result.