Architected and developed a cross-platform mobile app to monitor public health trends, leveraging ML models to predict potential outbreaks based on real-time
Developed a mobile application to monitor and manage public health data, enabling users to report health symptoms, access health information, and receive updates on public health issues. The app utilized AI to analyze data trends and provide actionable insights for public health officials.
Key Features:
Health Reporting: Users can report symptoms and health conditions via the app.
Real-Time Alerts: Push notifications for health advisories and updates.
Data Analytics: AI-driven analysis of health data to identify trends and predict potential outbreaks.
User Dashboard: Personalized health information and recommendations.
Enhanced public health monitoring and response capabilities, leading to more informed decision-making and timely public health interventions. The app facilitated better engagement between health authorities and the community, contributing to improved public health outcomes.