Pneumonia Detection

[saikrishna823]

Is your feature request related to a problem? Please describe.

Pneumonia is a severe respiratory infection that inflames the air sacs in the lungs, posing significant health risks, particularly to infants, the elderly, and immunocompromised individuals. Early and accurate diagnosis is crucial for effective treatment, but traditional methods like chest X-rays and laboratory tests can be time-consuming and require expert interpretation.

Describe the solution you'd like

This project aims to develop an automated pneumonia detection system using chest X-ray images and deep learning techniques. We will collect a dataset of labeled X-ray images and preprocess them through resizing, normalization, and augmentation. Various deep learning models, including CNNs and transfer learning architectures like VGG16, ResNet50, and DenseNet, will be explored to identify the most effective approach. The models will be trained and evaluated using metrics such as accuracy, precision, recall, and AUC-ROC to ensure robustness and generalizability. The final model will be integrated into a user-friendly web application, allowing healthcare professionals to upload X-ray images and receive instant diagnostic feedback.

Describe alternatives you've considered

No response

Additional context

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Code of Conduct

• I agree to follow this project's Code of Conduct

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[saikrishna823]

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[saikrishna823]

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