This study aims to analyze the accuracy of the MobileNetV2 model in classifying chest X-ray images for detecting four pulmonary conditions: Normal, Pneumonia, Cardiomegaly, and Pneumothorax. The dataset consists of 12.539 X-ray images obtained from public repositories and has undergone preprocessing, augmentation, and class weighting to address data imbalance. The model was developed using tran…