Flood susceptibility mapping workflow using geospatial data engineering and a decision making algorithm to identify and visualize flood-prone areas.
Machine learning classification project that predicts tsunami alert risk from seismic event data using interpretable models and comparative evaluation of multiple classifiers.
This repository is part of an ongoing project that aims to enhance the usefulness of social media data in natural disaster informatics.
This project is a comprehensive AI and Machine Learning-based application designed to predict flood risks in specific regions (Mostar, Jablanica, and Fojnica). The system utilizes real-time weather data and historical patterns to assess potential flood risks.
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