International Journal of Computer Techniques Volume 12 Issue 3 | CRISIS AID&RELIEF ENGINE
CRISIS AID & RELIEF ENGINE (CARE)
International Journal of Computer Techniques – Volume 12 Issue 3, May – June 2025
Abstract
Disasters demand **rapid, coordinated, and resource-efficient response systems**. CARE (Crisis Aid & Relief Engine) is a **web-based disaster management platform** integrating **NGOs, volunteers, donors, and administrators** through **real-time dashboards, AI-powered analytics, and IoT-based situational awareness**. Building upon **existing tools like Sahana and Ushahidi**, CARE **optimizes relief efforts** by **enhancing resource mapping, volunteer management, and donor integration**.
Keywords
Disaster Management, Digital Disaster Response, Crowdsensing, AI in Disaster Zones, Crisis Aid & Relief Engine, IoT Sensors, NGO Coordination.
Conclusion
CARE offers **a scalable, tech-driven disaster relief framework**, **learning from global systems while tailoring solutions for localized infrastructure**. By integrating **full-stack engineering, community participation, and AI-powered data intelligence**, CARE enhances **disaster response coordination, ensuring optimized humanitarian aid distribution**.
References
- Khan, S. M. et al. (2023). “A Systematic Review of Disaster Management Systems.” Land Journal.
- Ganti, R. & Ye, F. (2011). “Mobile Crowdsensing: Current State and Future Challenges.”
- Gaire, R. et al. (2017). “Cloud4BigData: IoT Platform for Scalable Disaster Monitoring.”
- Raj, A. et al. (2024). “Generative AI Applications in Disaster Risk Zones.” Springer AI Review.
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