flood-prediction

AI-powered flood intelligence system featuring h2oGPTe Agent + NVIDIA NIM integration (A2A), NAT pipeline with Nemotron 49B, and real-time flood risk assessment. Part of NVIDIA–H2O.ai AI for Good Blueprint for disaster response and monitoring.

Code for papers Optimal Reservoir Operations using Long Short-Term Memory Network and Bi-directional Storage Capacity and Elevation Level Calculator for Reservoir Operation Management

This project develops a machine learning model that predicts the likelihood of flooding in a given area using data sourced from various APIs. The model analyzes topographical and environmental factors to generate predictions, aiding in flood risk assessment and mitigation.

Heterogenous Graph Attention Transformer for high-resolution, distributed spatiotemporal flood prediction. Published at ACM SIGSPATIAL 2025.

The main motive of the project is to predict the amount of rainfall in a particular division or state well in advance. We predict the amount of rainfall using past data.

The Disaster Monitoring System is an app for flood prediction and earthquake classification. It uses water level, weather, and sensor data for insights.

Reinforcing-a-Monitoring-System-of-a-Regulated-River-using-ML. A multilevel intelligent flood forecast model using a combination of multi recurrent neural network (RNN) and regression models. Through comparisons with autoregressive integrated moving average (ARIMA), Gated Recurrent Unit (GRN), Long-Short Term Memory (LSTM), and BiLSTM.

Flood Risk Prediction System: End-to-end Machine Learning model & interactive web dashboard for real-time flood risk forecasting, feature selection, and environmental data analysis.

The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".

AquaGuard is a native iOS application designed to protect communities during flood disasters. It provides real-time alerts, safety guides, and a crowdsourced reporting system to coordinate rescue efforts effectively.

A small flood prediction project using Kaggle dataset,it is my first repository,I hope it will be ok QWQ

Pralay Mitra is an AI-powered disaster management system designed to assist government officials in making informed decisions during emergencies. It provides real-time insights, response plans, and resource allocation strategies to handle disasters efficiently.

AI-powered flood risk prediction and bilingual emergency alert system using ML and live weather analytics

Flood susceptibility mapping workflow using geospatial data engineering and a decision making algorithm to identify and visualize flood-prone areas.

Sahay - A predictive disaster intelligence and rapid emergency response platform. Features ML-driven river flood forecasting (ARIMA), CNN-based rainfall analysis, a lightning-fast blood bank locator, and interactive disaster SOPs. Built for DSN3099 Engineering Project in Community Service @ VIT

Sahay - Flood & Rainfall Intelligence: a Python web app using 1D‑CNN deep learning and ARIMA time‑series forecasting for monthly precipitation prediction and flood-risk classification. Developed for the DSN2099 Project Exhibition - II @ VIT

Emergency Flood Forecasting (2011) 💧 How Do You Predict Floods When All Models Fail? : Grassroots forecasting system that helped 13M people prepare during Thailand's worst disaster - using only existing water data and adaptive research-based models, when conventional prediction tools broke down.

Deterministic synthetic-data LSTM demonstration for one-step-ahead discharge forecasting

A Multi-Model Ensemble Framework for Flood Detection and Early Warning in Bihar using BiLSTM, SAR Imagery, Weather Data, and Machine Learning.