A WEB-BASED PLATFORM FOR DISASTER MANAGEMENT

Authors

  • Ghaniyyat Bolanle Balogun Department of Computer Science University of Ilorin,
  • Mu’sab Olanisebe Olurode Department of Computer Science University of Ilorin,
  • Taofik Olawale Debo Department of Computer Science University of Ilorin,
  • Raheem Adeleke Ajiboye Department of Computer Science University of Ilorin,

Abstract

Conventional approaches to resource allocation in disaster response management are often characterized by inefficiency and inadequacy, particularly in rapidly evolving disaster situations. Implementing a data-driven framework can significantly improve disaster response by assessing existing models, creating a cohesive framework that incorporates decision support systems, and testing its efficacy through simulations. Developing a Progressive Web App (PWA) utilizing contemporary web technologies and data analytics enhances coordination and the deployment of resources. This PWA enables real-time data integration and optimizes resource allocation, highlighting the transformative potential of computer science in disaster management. Future initiatives should focus on harnessing artificial intelligence and machine learning to further enhance resource allocation strategies and predictive analytics.

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Published

2025-03-31

Issue

Section

ARTICLES