Cloud-Based Flood Prediction Using IoT Devices and Machine Learning Algorithms

Flood is an unavoidable catastrophic event in India, causing weight progression of traffic and can likewise make extreme harm to properties and human lives. A very huge number of individuals bite the dust as a result of seismic tremors and here and there in light of Waves. The subsequent harm can be limited and day-to-day routines can be saved if individuals experiencing the tremor wave inclined zone are now set up to endure the strike. The admonition frameworks can diminish the misfortunes by alarming the individuals. To develop a better and more effective flood prediction method based on the previous 20 years of study. Due to various technological developments, we are now able to anticipate a particular degree of flood before it occurs in specific regions that are already prone to it. As the strategies are increased by various new algorithms, this research work proposes a slightly better way of predicting flood at the earliest stages and could minimize the damage made to lives and assets in the process.