The Healthcare systems require efficient and accurate diagnostic tools to improve patient outcomes. In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have played a significant role in enhancing medical image analysis. This paper presents a system for disease detection using biomedical imaging, specifically focusing on chest X-ray images for pneumonia identification. The proposed system utilizes deep learning techniques, particularly Convolutional Neural Networks (CNN), to classify medical images as either normal or pneumonia. The system is deployed as a web-based application that allows users to upload images and obtain instant predictions. Image preprocessing techniques such as resizing and normalization are applied to improve model performance. The proposed solution provides faster diagnosis, reduces manual workload, and supports healthcare professionals in decision-making.