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Vinay10100 authored Apr 14, 2023
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# Chest X-Ray Image Classifier
This project aims to classify chest X-ray images into three categories: COVID-19, Pneumonia, and Normal, using a Convolutional Neural Network (CNN) model.
The project also includes a deployment using Streamlit for interactive web-based prediction of chest X-ray images.
Test Images : [Test_images](https://github.com/Vinay2022/Chest-X-Ray-Classification/tree/main/Test_images)
* Test Images : [Sample Images for Testing Model](https://github.com/Vinay2022/Chest-X-Ray-Classification/tree/main/Test_images)

## Dataset
The dataset used for this project consists of a collection of chest X-ray images obtained from [Chest X-Ray Images Dataset (Kaggle)](https://www.kaggle.com/datasets/pranavraikokte/covid19-image-dataset), including COVID-19-positive cases, pneumonia cases, and normal cases.
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