Abstract: Pneumonia is a serious lung infection that afflicts millions worldwide, particularly children and the elderly. To be treated effectively, this requires prompt and accurate diagnosis. This project introduces a system that uses Convolutional Neural Networks (CNNs), a powerful deep learning tool, to make pneumonia detection easier and faster. Users can upload chest X-ray images, which the CNN model will analyze to identify signs of pneumonia with high accuracy and speed. By bringing the efficiency of advanced image analysis together with a user-friendly interface, this approach should bring diagnostic capabilities closer while improving issues such as data quality, privacy, and model reliability.
Keywords: Pneumonia, Convolutional neural network, Data augmentation, Deep learning, Accuracy.
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DOI:
10.17148/IJARCCE.2025.14119
