Sick weather: Real-Time Illness Tracking, Powered by AI

Sickweather empowers people to protect their families from illness by tracking sickness trends in real time. Unlike traditional illness reporting, which is slow and often outdated, Sickweather uses a combination of AI-powered social listening, user-reported data, and health device integrations to deliver live health alerts and local outbreak forecasts.

Key features and capabilities include:

• Real-time social media monitoring: Proprietary, patented technology scans social media and online sources for illness mentions.

• User symptom reporting: People can self-report symptoms, contributing to a dynamic, community-driven illness heatmap.

• Wearables & health integrations: The app connects with Apple Watch, Android Wearables, Fitbit, Samsung Health, and Bluetooth thermometers to capture live biometric data.

• Predictive analytics: Advanced AI models analyze over 6 million illness reports per month to calculate a SickScore, helping users assess local health risks and avoid hotspots.

• Preventive tools: Includes a handwashing timer to encourage healthy habits.

• Cross-platform ecosystem: Technology Rivers designed and built the Android app, enhanced the iOS app, and developed extensions for Apple Watch, Fitbit, and other wearables.

The impact:
Sickweather has become the world’s largest illness tracking community, featured by major media outlets like Fox, BBC World News, NPR, Discovery Channel, Time, Fast Company, and more. The platform enables millions to track illnesses like the weather, make informed health decisions, and stay ahead of local outbreaks.

Technologies used:
Amazon AWS, Android SDK, Objective-C, Fitbit SDK, Android Wearables, Apple Watch, Samsung Health, Elastic Search, ELK Stack (Kibana, Logstash), MySQL, Node.js.