Covid19-Xray-detection is a project aimed at developing a model for predicting whether an X-ray image depicts a case of Covid-19 or is normal. This repository utilizes datasets from the COVID-19 Chest X-ray Dataset and the Chest X-Ray Images (Pneumonia) dataset available on Kaggle.

The dataset used in this project consists of X-ray images obtained from the COVID-19 Chest X-ray Dataset and the Chest X-Ray Images (Pneumonia) dataset. These datasets contain images labeled as either COVID-19 positive or normal.

• COVID-19 Chest X-ray Dataset: Contains X-ray images of COVID-19 cases along with associated metadata.
• Chest X-Ray Images (Pneumonia): Includes X-ray images of patients with pneumonia, serving as the normal class for this binary classification task.

The model is developed using deep learning techniques, particularly convolutional neural networks (CNNs), which have demonstrated promising results in image classification tasks, making them suitable for analyzing X-ray images.

To use this repository:

1. Clone the repository:

git clone https://github.com/your-username/Covid19-Xray-detection.git

2. Install the required dependencies:

pip install -r requirements.txt or pip3 install -r requirements.txt

3. Run the model on your dataset or utilize the provided scripts for training and testing.

Contributions to this project are welcome. If you have any suggestions for improvement or would like to report issues, please open an issue or submit a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

• The creators of the COVID-19 Chest X-ray Dataset and the Chest X-Ray Images (Pneumonia) dataset for providing valuable data for research purposes.
• The open-source community for their contributions to the field of machine learning and healthcare.