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.

AI-powered flood & landslide early warning dashboard for Pakistan — ML risk prediction + Groq-generated safety advisories, bilingual (English/Urdu) interface.

Built for Smart India Hackathon 2026, SIH Problem Statement 26192 by National Disaster Response Force (NDRF), DM Division, Ministry of Home Affairs: Hyperlocal flash flood prediction and risk-response system for hilly regions using multi-source environmental and IoT data.

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

DripTect – Smart Flood Prediction Made Simple! Using cutting-edge IoT sensors + AI models, it tracks rainfall, soil & weather in real-time. With live forecasts, risk alerts, and an interactive dashboard, DripTect helps communities stay safe, prepared & resilient.

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.

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.

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.

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

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

AI-powered dam-break flood prediction & digital twin for hydrodynamic simulation, satellite-validated flood mapping, and real-time evacuation planning. Built with React, FastAPI, PostGIS & Google Earth Engine for Smart India Hackathon 2026 (SIH26161) uncertainty-aware disaster response for Indian rivers.

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

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

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.

Flood Prediction is a Databricks Solution Accelerator for spatial ML: public elevation, water, climate, and historical flood data → H3 features → scenario-trained models → an interactive underwriting map. Built for Public Sector and P&C Insurance demos. Retarget any city by changing a few bundle variables.