COVID19 DETECTION USING X-RAY IMAGES

Problem Statement:

There are a total of 26Cr Covid positive cases worldwide and is increasing. Performing Covid test requires blood samples and nose swab samples which can be expensive, time consuming and uncomfortable for many of the patients.

Proposed Solution:

A possible solution would be to create a Deep Learning model which would predict if the person is infected by covid19 by analysing an AP(anteroposterior) view of his/her chest X-Ray image.

Data Description:

Dataset : Link

Data Characteristics: The Dataset contains images of Positive and Negative chest X-Ray images in AP view.

Project Tree Structure

 .
├── Sample_Images
    ├── Covid
    ├── Normal
├── static
     ├── css
     ├── js
├── templates
     ├── base.html
     ├── index.html
├── Uploads
├── COVID19_Detector.ipynb
├── README.md
├── app.yaml
├── main.py
└── requirements.txt

Tools used:

• Programming language : Python
• IDE : Visual Studio Code
• Visualization : Matplotlib and Seaborn
• Front end development : HTML/CSS
• Back end development : Flask
• Version control system : GitHub

Creator:

1. Hrishikesh Dutta