Chest X-rays helps us to find out the affected areas in the lungs. Using chest X-ray pictures, the project aimed to construct a convolutional neural network (CNN) model that will aid in the early detection of COVID-19 and non-COVID-19 viral pneumonia patients during the pandemic’s challenging time. As described, two convolutional neural network (CNN) models were trained and implemented on two distinct datasets; one for "Covid -19" detection and the other one for "Pneumonia"

This model works

The dataset is sourced from "COVID 19 Xray Image Dataset with Huge Samples" from Kaggle - a known platform for having good variety of datasets for machine learning models. This dataset is a medical dataset of X-Ray Report of various patients. It consists of nearly xray images of nearly 2328 patients' records.

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The dataset is taken from "Chest X-Ray Images (Pneumonia)" from Kaggle. The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal).