Overview
Viral Vision used AI-powered computer vision to detect infections in real-time, transforming outbreak management into a proactive, data-driven system. The platform automated risk detection, streamlined data sharing, and ensured user privacy, making public health response more efficient and predictive.
As Staff Product Designer, I led the strategic roadmap, AI integration, and UX execution, ensuring machine learning insights were accessible and actionable. This included designing AI-driven rapid test verification, real-time predictive hotspot mapping, and encrypted peer-to-peer data sharing to enable safe interactions while protecting user privacy.
By integrating automated verification, AI-powered alerts, and decentralized data security, Viral Vision helped users make informed, real-time decisions while ensuring health data remained secure and anonymous.
The Problem
The Solution
End-to-end encrypted, decentralized AI models that allow users to share data anonymously while ensuring security.
Secure, opt-in AI-powered data collection to support public health research while maintaining user privacy.
Submit Symptoms & Rapid Tests with AI Verification
Users can submit rapid test results and symptoms, with AI-powered computer vision validating authenticity in real time.
Use cases
AI-Powered Local Risk Alerts
Detects symptom spikes to limit outbreaks in high-density areas.
Privacy-First QR Health Passports
Detects symptom spikes to limit outbreaks in high-density areas.
Exposure Notifications
AI-driven real-time alerts based on verified, anonymous tracking.
Peer-to-peer QR passport system
Keeping safe during outbreaks
The Results
40% Faster AI-Driven Development
Streamlined AI model training and automation-first workflows, cutting deployment time while ensuring accuracy.
Scalable AI-First Health Infrastructure
Designed a modular AI system that adapts to future outbreaks and public health challenges.
Mobile-First AI Strategy
Designed real-time AI-powered health insights for fast, on-the-go access, ensuring smooth usability across devices.
Privacy-Driven Trust Model
Built a user-controlled, encrypted AI verification system to ensure public confidence in secure data handling.
