Pneumonia Detection System is a deep learning-based web application developed to detect pneumonia from chest X-ray images. The system uses a Convolutional Neural Network (CNN) built with TensorFlow/Keras to classify images as Pneumonia or Normal. Users can upload an X-ray image through a Flask web interface, where it is preprocessed using OpenCV before being analyzed by the trained model.
The application displays the predicted result along with a confidence score, providing a fast and user-friendly solution for AI-assisted pneumonia screening. The project is built using Python, TensorFlow, Flask, OpenCV, HTML, CSS, and Bootstrap.
| Applicable For | B.Tech, BCA, MCA, M.Tech |
Tags: Medical Imaging, CNN, X-ray Analysis, Pneumonia Detection, Healthcare,
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