Proactive Disaster Management: AI for Risk Reduction and Crisis Response

In the face of increasing environmental volatility and societal risks, disaster preparedness has become a critical component of public safety. This project, titled “Disaster Awareness Web Application”, aims to enhance public understanding and responsiveness to various types of natural and man-made disasters through an interactive, visually engaging, and educational web-based platform. The proposed system addresses the growing need for real-time, accessible disaster awareness tools that not only inform but also encourage proactive behavior among citizens. The application is developed using front-end technologies such as HTML5, CSS3, and JavaScript, and is hosted on Firebase to leverage its fast deployment, scalability, and built-in hosting features. The user interface presents a grid of animated cards, each representing a specific disaster (e.g., flood, earthquake, fire, cyclone, landslide, pandemic, gas leak, etc.). Users can click on a card to be redirected to a detailed

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-19
DOI
https://doi.org/10.22214/ijraset.2025.68970
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proactive Disaster Management: AI for Risk Reduction and Crisis Response

V.V. Rao
1 links
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
article

Proactive Disaster Management: AI for Risk Reduction and Crisis Response

V.V. Rao
article en

Abstract

In the face of increasing environmental volatility and societal risks, disaster preparedness has become a critical component of public safety. This project, titled “Disaster Awareness Web Application”, aims to enhance public understanding and responsiveness to various types of natural and man-made disasters through an interactive, visually engaging, and educational web-based platform. The proposed system addresses the growing need for real-time, accessible disaster awareness tools that not only inform but also encourage proactive behavior among citizens. The application is developed using front-end technologies such as HTML5, CSS3, and JavaScript, and is hosted on Firebase to leverage its fast deployment, scalability, and built-in hosting features. The user interface presents a grid of animated cards, each representing a specific disaster (e.g., flood, earthquake, fire, cyclone, landslide, pandemic, gas leak, etc.). Users can click on a card to be redirected to a detailed

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 88%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.