Data collection and label tool for COVID-19 disease chest scans covideep

Users can download gathered dataset and/or upload dataset

Radiologists can label chest xray scan to ensure the quality of dataset

An up-to-date deep learning model trained using collected dataset

Add '.env' file

MONGODB_URI= <YOUR_MAONGO_URI>
MONGODB_TEST_URI= <YOUR_MONGODB_TEST_URI>
SECRET_TOKEN= <YOUR_SECRET_TOKEN>
AWS_ACCESS_KEY_ID = <YOUR_AWS_ACCESS_KEY_ID>
AWS_SECRET_ACCESS_KEY = <YOUR_AWS_SECRET_ACCESS_KEY>
AWS_REGION= <YOUR_AWS_REGION>
AWS_BUCKET_NAME = <YOUR_AWS_BUCKET_NAME>
CLIENT_URL= <YOUR_CLIENT_URL>
MAILGUN_DOMAIN=<YOUR_MAILGUN_DOMAIN>
MAILGUN_API_KEY= <YOUR_MAILGUN_API_KEY> 
TOKEN_EXPIRY=<YOUR_TOKEN_EXPIRY>

Run npm run dev for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.

Run npm run prod to build the project. The build artifacts will be stored in the dist/ directory. Use the --prod flag for a production build.

Run npm run test to execute the unit tests via Karma.

Run npm run e2e to execute the end-to-end tests via Protractor.

Please feal free to fork this project and do whatever you want with.

We still in BETA version.

• Ahmed GHENABZIA - Initial work - Ahmed
• Ilies BOUROUH - Initial work - Ilyes brh
• Tarik ZEDAZI
• Mohamed BRAHIMI
• BILEL ZEDAZI

This project is licensed under the MIT License - see the LICENSE.md file for details