Alveoli

     

 

 

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

IPFS, Alan AI

DataSet

• Chest X-Ray (Pneumonia,Covid-19,Tuberculosis)

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:

• Pneumonia Detection from Chest X-ray Images Based on Convolutional Neural Network
• Detecting Coronavirus from Chest X-rays Using Transfer Learning