This project introduces a Flood Forecasting Model (FFM) employing Long Short-Term Memory (LSTM) networks with logistic activation functions to predict floods in multiple rivers, dams and barrages of a selected region. The FFM aims to issue timely flood alerts to the flood mitigation department, enabling proactive measures to prevent widespread damage to human life and infrastructure. By leveraging computational models for early flood prediction, the FFM serves as a crucial tool in disaster prevention and response efforts, ultimately contributing to saving lives and safeguarding socioeconomic systems from the devastating impacts of floods.