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Trained model by downloading Chest X-ray dataset from Kaggle. Built REST APIs to make the model and database functional along with JWT Authentication

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bikalpakc/Pneumonia_Detection_System_using_Deep_Learning

 
 

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Pneumonia Detection

This project is designed to detect pneumonia from medical images using machine learning techniques.

Features

  • Automated detection of pneumonia from chest X-ray images.
  • Utilizes deep learning models for high accuracy.
  • Easy-to-use interface for uploading and analyzing images.

Installation

  1. Clone the repository:
git clone https://github.com/sushilladhicarree/pneumonodetect.git
  1. Navigate to the project directory:
cd pneumonodetect
  1. Install the required dependencies:
npm i
npm i react-router-dom 
npm i axios  
docker run --publish 8000:8000 bikalpakc/pds-python-django-backend-updated:v2

Dataset

The project uses publicly available datasets such as the Chest X-Ray Images (Pneumonia).

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

License

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

Acknowledgments

  • Inspired by various pneumonia detection research papers.
  • Thanks to Bikalpa KC and Sadikshya Poudel for their huge contributions in making this project possible.

Screenshots

Working demo - Login Page Working demo - Dashboard page Working demo - Upload Page Working demo - Result Page

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Trained model by downloading Chest X-ray dataset from Kaggle. Built REST APIs to make the model and database functional along with JWT Authentication

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  • TypeScript 63.4%
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