A web-based platform for disaster management

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.