Machine Learning-based Predictive Flood Detection and Emergency Response Dashboard

Floods are becoming more unpredictable day by day with rapid changes in climatic changes, unpredictable rain patterns, city development, and poor drainage facilities. The previously used methods of detecting flood occurrence lacked sufficient competence in providing accurate information on warnings concerning floods. This results in greater damage to lives and property. The latest technological developments regarding machine learning (ML), remote sensing methods, satellite imaging, and IoT devices revamped the entire basic assumption on flood prediction systems and emergency response systems across the globe. The main aim of writing this specific review article is to provide readers with an overview of different types of ML models used for predicting flood occurrence. In addition to this, this article will discuss other aspects of utilizing specific types of data like hydrological data for prediction. The emergency response system will likewise be discussed. The gaps identified will provide readers with an innovative methodology for applying ML models for resource management for better response to emergency circumstances.