Pneumonia Detection Using CNN Algorithm

University Exam Project

Repository was created regarding the implementation of the CNN algorithm created using Streamlit

Description

A project was created that was able to automatically detect pneumonia based on x-ray images

Dataset Source

Kaggle Dataset Chest X-Ray Images (Pneumonia) (Link Download)

Directory Structure

machine_learning
├── model
│   └── pneunomia_model.h5
├── np2.ipynb
├── readme.md
└── streamlit
    ├── main.py
    └── requirements.txt

• /model: consists of a pneumonia model, which is used to store the trained machine learning model. The file contains the extension ".h5".
• /streamlit: Consists of the main.py file which is the main code in creating a website that can automatically detect pneumonia.
• np2.ipynb: file is the way to do the CNN algorithm creation process

Installation

1. Clone the repository to your local computer using the following command:

   git clone https://github.com/mhaidar10/pneumonia-cnn-basic.git

2. Install the Library with the following command:

   pip install streamlit tensorflow pillow requests
   

3. [OPTIONAL] Nodemon installation to perform Hot Reload

    npm install -g nodemon

Usage

1. Perform Access and Compilation (Local):

   streamlit run streamlit/main.py

   OR *nodemon installation require

   nodemon --exec streamlit run streamlit/main.py

2. Access in the Cloud (online):

   Pnemonia Detection