CRISIS AID & RELIEF ENGINE

ABSTRACT Disasters—both natural and man-made— demand coordinated, rapid, and resource efficient response systems. In today’s digital era, technology-driven platforms have become central to effective disaster management. This research presents CARE (Crisis Aid & Relief Engine), a web-based coordination system that integrates NGOs, volunteers, donors, and administrators through a real-time, role-based interface. Building upon learnings from existing tools like Sahana, Ushahidi, and AI- integrated disaster analytics, CARE enhances situational awareness, resource mapping, and stakeholder coordination. The paper explores its technical architecture, compares it with prior models, and proposes scalable features like mobile integration, IoT inputs, and AI-driven triage—offering a roadmap for future-ready disaster management ecosystems.. KEYWORDS: Disaster Management,Digital ,Disaster Response, Crowdsensing, Mobile Crowdsensing,IoT Sensors, AI in Disaster Zones, Disaster Response System, Disaster Relief Coordination, Crisis Aid & Relief Engine, Role-based Dashboards, NGO Relief Requests,Volunteer Management, Donor Integration, Real-time Data Cloud Computing, Cloud4BigData