🌟 Chest X-Ray Disease Detection using CNN 🩺

This project focuses on utilizing Convolutional Neural Networks (CNN) for the detection of Pneumonia from chest X-ray images. The goal is to assist in faster and more accurate diagnoses, contributing to better medical decision-making.

🚀 Features

✨ Data Preprocessing: Efficient cleaning and preparation of X-ray images.
📊 Model Training: CNN-based model to classify chest X-rays.
📈 Evaluation: Performance metrics like accuracy, loss, and confusion matrix.
📸 Visualization: Easy visualization of X-rays and model predictions.

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/Adi3042/Chest-X-Ray-Disease_Detection_using_CNN.git

2. Navigate to the project directory:

   cd Chest-X-Ray-Disease_Detection_using_CNN

3. Install dependencies:

   pip install -r requirements.txt

4. Run app.py:

   python app.py

5. Visit at Given link:

   http://127.0.0.1:5000/

🧑‍💻 Usage

1. Download the dataset from Kaggle.
2. Prepare the dataset:
   • Extract the dataset into the chest_xray folder.
   • Merge all images from train, test, and val folders:
     • Move all NORMAL images into a single NORMAL/ folder.
     • Move all PNEUMONIA images into a single PNEUMONIA/ folder.
   • Ensure your structure looks like this:

      Chest-X-Ray-Disease_Detection_using_CNN/
      ├── data/
      │   ├── NORMAL/
      │   ├── PNEUMONIA/
      ├── saved_models/
      │   ├── Chest_Disease_Classifier_Model.h5
      │   ├── Chest_Disease_Classifier_Model.keras
      │   ├── Chest_Disease_Classifier_Model.tflite
      ├── src/
      │   ├── exception.py
      │   ├── logger.py
      │   ├── utils.py
      ├── static/
      │   ├── javascript/
      │   │   ├── index.js
      │   │   ├── contactUs.js
      │   ├── css/
      │   │   ├── index.css
      │   │   ├── contactUs.css
      │   ├── assets/
      │   │   ├── chest.png
      │   │   ├── favicon.png
      │   │   ├── logo1.png
      ├── templates/
      │   ├── index.html
      │   ├── contactUs.html
      ├── app.py
      ├── Chest_X_Ray.ipynb
      ├── requirements.txt
      ├── LICENSE
      ├── .gitignore
     

📜 License

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