Mobile application, which helps people know if they are COVID-19 infected before they show symptoms. Every minute every device makes a Bluetooth request to every other device nearby. Via ML we know which mode of transportation every user uses - car, still, walking, bus or train. If a user marks themselves as COVID-19 infected, we send notifications to every other user, who may have been have had contact with them. Every notification contains a map, which displays the exact point, where the user has been infected as well as is what circumstance have they been infected.

• Java 8
• Android SDK 30
• Gradle
• Android Studio or equivalent
• Node 14.x.x
• NPM / Yarn
• Python 3.6
• Poetry

• To run the mobile app create a configuration for Android app, choose MainActivity to be the default one, build it and run it
• To run the server create .env file with the fields from .env.example, run yarn install and yarn start
• To run the server determining the transportation mode first you need to run poetry install then python server.py

• Samuil Georgiev - Android
• Valentin Spasov - Android
• Anton Yanchev - Backend
• Ognian Baruh - Backend
• Victor Gorchilov - Machine Learning