2. Introduction This project addresses the

2. Introduction This project addresses the critical task of diagnosing pneumonia, a leading cause of mortality, through chest X-ray image classification. The main objective is to leverage Convolutional Neural Networks (CNNs) for early and accurate pneumonia detection, showcasing the transformative role of AI in medical imaging. 3. Related Work Previous studies employed traditional machine learning methods and basic CNN architectures for pneumonia detection. However, these models often suffered from overfitting and insufficient generalization. By incorporating data augmentation and dropout layers, this study overcomes such limitations, setting a new benchmark in performance.