Published Paper Details:

Flooding is a frequent occurrence around the world, impacting hundreds of millions of individuals and causing anywhere from 7,000 to 19,000 fatalities each time, with20% of these taking place in India. Effective early warning systems have been provento significantly reduce losses and property damage, however, many people donot have access to such systems. To address this issue, a Flood Prediction Systembasedon Machine Learning (ML) or Artificial Intelligence (AI) can be developed andused. This advanced prediction system delivers cost-effective and improved performanceoutcomes. The system is constructed using rainfall data to predict the likelihoodof flooding caused by excessive rainfall. The model forecasts the possibility of a "floodevent" based on the rainfall levels in specific locations. The prediction model is created using Indian monsoon rainfall data and is trained with algorithms suchas K- Nearest Neighbors and Logistic Regression. ls in real-time. It can also be used in autonomous cars and as a driving aid for people in general.