/Alveoli

Chest X-Ray reports in a matter of seconds.We have created a secure Chest X-Ray image classification based website and app that can detect Covid-19, Pneumonia and Tuberculosis. Deep Learning has been used to detect the disease by using a Convolutional Neural Network(MobileNetV2) which performs classification

Primary LanguageJupyter NotebookMIT LicenseMIT

Alveoli

Website Link   Youtube Link   APP Link   Demo Video

Home Page

 

Upload Page

 

About Project

Chest X-Ray Classification:

  • Website and app that can detect covid, pneumonia, tuberculosis.
  • Deep Learning has been used to detect the disease by using a Convolutional Neural Network(MobileNetV2) which performs classification
  • Decentralised and Secure

Working Explanation

  1. Create a account and Login to the website

  2. Checkout the upload page to check your X-Ray.

  3. Result will be displayed.

  4. Precautions and safety measures are also provided depending upon the result of the X-Ray.

  5. Can also check the profile page for previous X-Ray checks.

Notable Features

  • This project helps users check their Chest X-Ray reports in a matter of seconds.

  • A Chest X-Ray image classification based website and app that can detect Covid-19, Pneumonia and Tuberculosis.

  • A decentralised and secure chest X-Ray classification website.

  • The user can login and upload an image of the Chest X-Ray which will be safely secured on Blockchain.

  • Alan AI has also been integrated for smooth workflow.

  • The user can also view a history of their medical chest X-Ray reports which can be downloaded in the form of a pdf.

Tech Stack

React NodeJs ExpressJs Redux TensorFlow Keras Flutter Dart

IPFS, Alan AI

DataSet

Installation Requirements

  • React
  • Node
  1. Clone the repository to your local machine

    git clone https://github.com/Codificacion-Circulo/Alveoli.git
    
  2. Move to the web-app and backend and install all the dependencies

    npm install
    
  3. Move to the backend folder and run the development environment

    npm run dev
    
  4. Move to the web-app folder and run the Development Environment

    npm start
    

Resources: