Abstract: COVID-19's worldwide spread has put a strain on healthcare systems, especially in recognising it quickly. Despite its time and expense, RT-PCR is the most preferred testing technique. This web-based project classifies chest X-rays as COVID-19, Pneumonia, or Normal using deep learning. Clinicians can check for COVID-19 quicker.
The project uses CNN models learned on free medical imaging datasets. This model can discriminate COVID-19 radiography indications among additional lung infections and healthy lungs. Web interfaces simplify chest X-ray submissions. After scanning the image, the backend system instantly categorises correctly.
This programme is simple and effective. This helps radiologists, doctors, and researchers make decisions. It cannot substitute for clinical examinations, but it is useful when medical competence is lacking or early detection is important. The programme shows how AI may enhance public health response and digital diagnostics can avoid pandemics.
Keywords: COVID-19, Chest X-ray, Deep Learning, CNN (Convolutional Neural Network), Medical Imaging, Image Classification, Web Application, Healthcare AI, Pneumonia Detection, Diagnostic Tool.
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DOI:
10.17148/IJARCCE.2025.14708
