StreetPulse, transforms urban blocks into AI-powered health corridors by leveraging DT technology and real-time biometric monitoring. Designed to address inequities in urban resilience, the system integrates edge AI cameras, wearable sensors, and air-quality beacons to predict and mitigate public health crises before they escalate. Data streams into an open-standard digital twin, generating a Health-Stress Index for each block, while AI triage alerts first responders via ATAK-compatible dashboards. Key features include:
•        Predictive analytics: Detects health risks (e.g., heatstroke clusters) 5–10 minutes faster than traditional emergency systems.
•        Privacy-centric design: Federated learning ensures biometric data stays encrypted and anonymized.
•        Community co-creation: Residents shape sensor placement and alerts through VR workshops and inclusive UX (e.g., haptic feedback for visually impaired users).
•        Scalability: Modular, open-source architecture allows cities to deploy the system at $1 per resident.
Concept shows Faster EMS response and fewer preventable ER visits, proving that equitable, AI-driven urban resilience is achievable.