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AI-Powered Public Health Monitoring Platform for Real-Time Pandemic Control
  1. case
  2. AI-Powered Public Health Monitoring Platform for Real-Time Pandemic Control

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AI-Powered Public Health Monitoring Platform for Real-Time Pandemic Control

tallium.com
Government
Health & Fitness
Information technology

Public Health Crisis Management Challenges

Need for rapid deployment of a contact tracing solution to monitor and prevent COVID-19 outbreaks across Kuwait and the UK, with challenges including distributed development teams, tight two-month deadline, integration with external backend systems, and implementation of emerging Bluetooth tracing protocols like Bluetrace.

About the Client

Government health authority collaborating with international agencies to combat pandemic spread through technology

Critical Development Goals

  • Develop cross-platform mobile applications (iOS/Android) within 8 weeks
  • Implement real-time contact tracing and risk assessment system
  • Create seamless API integration with external healthcare data systems
  • Establish secure user authentication with OTP verification
  • Enable dynamic symptom tracking and hotspot mapping capabilities

Core System Capabilities

  • Color-coded risk assessment system using neural networks
  • Unique QR code generation with medical history tracking
  • Bluetooth-based contact tracing with timestamped records
  • Interactive heatmap of infection hotspots
  • Daily symptom tracking questionnaire with updates
  • Real-time notification system for exposure alerts

Technology Stack Requirements

Swift (iOS)
Kotlin (Android)
Yandex.Maps API
Azure DevOps
TestRail
Oz Forensics
PusHub

System Integration Needs

  • External backend API for healthcare data
  • Bluetooth Low Energy (BLE) contact tracing protocol
  • PaymentIQ payment gateway
  • Card.io card scanning SDK
  • AppMetrica analytics integration

Operational Requirements

  • Real-time data synchronization across platforms
  • Military-grade data encryption for health records
  • High-availability architecture for mass adoption
  • Cross-platform compatibility with legacy devices
  • Automated CI/CD pipeline with test coverage >90%

Expected Public Health Impact

Enable proactive pandemic management through AI-powered contact tracing, reduce infection rates by 40-60% through early exposure detection, support evidence-based policy decisions with real-time epidemiological data, and facilitate safe reopening of public spaces through dynamic risk assessment metrics.

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