Pneumonia Detection using Chest X-rays

This project uses deep learning algorithms and Keras library to determine if a person has pneumonia or not from their chest x-rays. The trained model is displayed using Streamlit, which enables the user to upload an image and receive instant feedback.

Requirements

The following libraries are required for running this project:

• TensorFlow
• Keras
• Pillow
• Streamlit

Installation

If you have the requirements already installed, you can skip this section. If not, follow the steps below to install them:

1. Install TensorFlow:

   pip install tensorflow
   

2. Install Keras:

   pip install keras
   

3. Install Pillow:

   pip install pillow
   

4. Install Streamlit:

   pip install streamlit
   

Usage

1. Clone the repository:

   git clone https://github.com/SiddharthRajpal/Pneumonia-Recognition-With-Python.git
   cd Pneumonia-Recognition-With-Python
   

2. Run the Streamlit app:

   python3 -m streamlit run main.py
   

   or

   python -m streamlit run main.py
   

   or

   py -m streamlit run main.py
   

3. Upload a chest x-ray image to see if a person has pneumonia or not.