With the continuous increase in the number of Covid-19 positive patients and suspects, it is becoming difficult for the clinicians to detect patients after taking their clinical tests. The current tests are mostly based on reverse transcription polymerase chain reaction (RT-PCR). It takes 4–6 hours to obtain results, which is a long time compared with the rapid spreading rate of COVID-19. Also, RT-PCR test kits are in huge shortage.
Here, we have come up with a solution to this problem. We have prepared a Web Application using which the early detection of Covid can be done. The dataset has been taken from here , it contains chest X-rays of various patients. The model has been trained using tensorflow.
Please, go and check our simple WebApp 🖥️ Covid-19 Early detection.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Clone the repo
git clone https://github.com/Gauravsahadev/Covid-19-Early-detection.git && cd Covid-19-Early-detection/
What things you need to install
- Python3
sudo apt install python3 python3-pip
- Dependencies
pip3 install -r requirements.txt
A step by step series of examples that tell you how to get a development env running
Inside dir
export FLASK_APP=run.py
And repeat
export FLASK_ENV=development
Run Flask app
flask run
Go to 127.0.0.1:5000, You will see APP Running
- Flask - The web framework used
- Tensorflow - Open Source ML library
- 👨💻 - Gaurav Sahadev
- 👧 - Debanjona Bhattacharjya
If you like our endeavour, Please give a ⭐