This work presents a case study of floods in Bangladesh using GIS analysis and deep learning. Floods are the natural hazard with the globe coverage and high frequency. Flood risk management involves segments of water use (potable water, industrial use, irrigation, recreation, energy production) and analysis. Flood risk analysis is computed in terms of the risk equation using parameters of hazard, vulnerability, exposure and capacity. Flood correlates with large-scale events and climate change which results in multi-hazard scenarios. The major reasons of flood include climate factors such as heavy rainfall. Second factor is hydrological and geological capacities of water permeability when land surface lacks the capacity to convey excess water. Flooding can also result from other phenomena, storm surge, tropical cyclone, tsunami, high tide. There are diverse flood types including riverine floods, flash floods, urban floods, glacial lake outburst floods and coastal floods (climatic and non-climatic processes cause these different types of floods).