Pneumonia is an infection of the lungs caused by bacteria, viruses, fungi, or parasites, leading to the accumulation of pus in the air sacs, which can affect one or both lungs. This serious illness poses a global health threat, with early diagnosis being a key challenge. Traditionally, it is diagnosed by medical professionals using chest x-rays. In this study, a collection of x-ray and CT-Scan images is employed to enable automated pneumonia detection. As the condition progresses, patients experience increasing difficulty breathing. Machine learning methods offer potential for faster and more accurate diagnosis by applying computer vision techniques for automatic detection in medical imaging.