AI-Powered
COVID-19
Contact Tracing
Harnessing the power of Artificial Intelligence and Bluetooth technology to break chains of transmission while fiercely protecting individual privacy.
Client
Ministry of Health
Sector
Public Health
Services
AI & Mobile App
Active
Risk Level
Low check_small
Checks
24/7
Weekly Exposure Trends
The
Challenge
Racing against an invisible enemy with limited traditional tools.
"Manual contact tracing was crumbling under the exponential spread. We needed a solution that was fast, scalable, but most importantly, trusted by the public."
Traditional interviews were labor-intensive and relied heavily on memory. By the time a contact was identified and notified (often 3-5 days), they could have already infected others.
Public skepticism towards digital surveillance posed a massive adoption barrier. Any solution utilizing GPS tracking was met with immediate resistance, threatening the efficacy of the entire program.
Exponential Growth
Manual tracers could not scale linearly with the viral R-naught factor.
Data Security
Handling sensitive health data required enterprise-grade encryption.
Our Approach
A privacy-by-design architecture leveraging decentralized AI for risk analysis.
Bluetooth Handshakes
We utilized Bluetooth Low Energy (BLE) to exchange anonymous, rotating identifiers between phones nearby, ensuring no geolocation data was ever recorded.
AI Risk Scoring
On-device machine learning algorithms analyzed signal strength and duration to calculate exposure risk probability, filtering out false positives (e.g., through walls).
Rapid Notification
Once a user reported a positive test, the system instantly pushed alerts to all relevant anonymous IDs from the past 14 days, reducing tracing time to seconds.
Technology Stack
A robust, scalable architecture capable of handling millions of daily handshakes with zero downtime.
Saving Lives
at Scale
The Epi-Tracer app was deployed nationally within 6 weeks, becoming a critical tool in the government's pandemic response strategy.
Active Users
Achieved 35% population adoption in first 3 months.
Tracing Speed
Average time from positive test result to contact notification.
Cases Prevented
Estimated secondary infections stopped through early isolation.
"Epi-Tracer allowed us to see the invisible. By automating the most labor-intensive part of epidemiology, we were able to flatten the curve without sacrificing the privacy rights of our citizens."
Dr. Elena K. Chief Innovation Officer, Ministry of Health
Next Steps
As the pandemic evolves, so does the platform. We are currently rolling out Vaccine Certificate Integration, creating a unified digital health wallet for citizens.
Future phases include cross-border interoperability protocols to safely reopen international travel and tourism, ensuring our digital infrastructure supports long-term economic recovery.
Building resilient systems?
Our rapid-response frameworks can be adapted for disaster management, public safety, and beyond.