Project overview

The platform uses neural network techniques and competitive generative networks to build a colour-coded system for tracking the level of Covid cases and assessing the severity of each person’s injury based on the Kuwaiti Ministry of Health and user data.

Features overview

  • Authorization
  • Registration
  • OTP verification
  • Password recovery
Profile settings page
Dashboard - main screen with regular updates of QR code for reading, maps with hotspots, notifications about filling in symptoms

Questionnaire with a list of symptoms with the need to regularly update it

Unique QR code for each user, containing a history of illness, calls to a medical institution and is intended to be read when visiting public places

Heatmap - shows crowded places in the vicinity of the user's current location with a request to avoid them

Scanning devices via Bluetooth to determine the person the user was communicating with at the time of detecting covid infection

Technology stack

We implemented a complicated business logic on the server side and enabled continuous delivery. Our CI server builds the system and runs a full suite of unit and integration tests against every commit. We integrated the app with PaymentIQ, a specific payment platform for the iGaming industry, and designed complex game mechanics to make betting more fun and exciting.
Technologies
Swift
Kotlin
Yandex.Maps
PusHub
Yandex AppMetrica
Oz Forensics
Creditlogic
Azure DevOps
TestRail
Wayforpay
Card.io



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