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

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

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.

LSTM-based deep learning model for river flood prediction using PyTorch | R2=0.899 | NSE=0.899

Machine learning research exploring flood prediction in coastal West Africa using environmental and meteorological data.

An end-to-end ML pipeline for flood risk prediction in Pakistan. Automates weather/terrain data collection, engineers time-series & topographical features, and trains an XGBoost model. A CLI runs the modular data, training, and prediction pipeline. Built for scalability with centralized logging.

This project is a comprehensive AI and Machine Learning-based application designed to predict flood risks in specific regions (Mostar, Jablanica, and Fojnica). The system utilizes real-time weather data and historical patterns to assess potential flood risks.

Flood prediction regression | R² = 0.869 | LightGBM + feature engineering (Kaggle S4E5)

AI-based flood risk prediction system using machine learning and Streamlit.

Graph-, flow-, and physics-aware XGBoost for flood forecasting

Spatio-Temporal flood prediction using Graph Neural Networks on Kerala Floods 2018 dataset

Ungauged Flood Prediction in Managed Basins with Hierarchical Bayesian Stacking

ConvLSTM 淹水深度預測 + Flask 互動儀表板 | 雲林縣颱風災害預警 | t+1/t+2/t+3 小時空間預測