GitHub topics: flood-prediction

Repositories

anujjainbatu/Pralay_Mitra

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.

Language: Python - Size: 54.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 2

Selma-Bajramovic/ai-agent-flood-prediction

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.

Language: Python - Size: 2.39 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

fact-h/1D-CNN-flood

1D CNN for flood prediction

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

fact-h/LightGBM-for-flooding-prdiction

Predicte the urban flooding based on the LightGBM model

Language: Jupyter Notebook - Size: 359 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Arnukk/CASPIAN

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

Language: Jupyter Notebook - Size: 275 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

filips123/KengurujiArnesHackathon

Submission for Kenguruji team for Arnes Hackathon 2024

Language: Jupyter Notebook - Size: 78.5 MB - Last synced at: 23 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Muminul/Reinforcing-a-Monitoring-System-of-a-Regulated-River-using-ML

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.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

rajiv8/Rainfall-Prediction

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.

Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 4

malfianp/disaster-monitoring-system

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

Language: Jupyter Notebook - Size: 33.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Muhammad-Shoaib37/Flood-Cause-Analysis

Flood Cause Analysis with various weather factors

Size: 2.52 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Anurag14/Inflow-Prediction-Bhakra

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

Language: Python - Size: 7.33 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1