Many people are afflicted by pneumonia, a respiratory infection brought on by bacteria or viruses, especially in underdeveloped countries. In underdeveloped nations, where there are typically significant levels of pollution, unhygienic living conditions, traffic, and a lack of suitable medical facilities. Fluids flood the lung in a condition known as pleural effusion, which makes breathing difficult is brought on by pneumonia. Early detection of pneumonia is essential for ensuring curative care and boosting survival rates. The approach most usually used to diagnose pneumonia is chest X-ray imaging. However, examining chest X-rays is a difficult task that is vulnerable to subjectivity. In this study, we created a computer-aided diagnosis system that uses chest X-ray pictures to automatically detect pneumonia. We have used VGG16 model in deep learning. To enhance user-friendly, we have designed a web page that displays the results that whether the person is effected by Pneumonia or not.