U.S. Natural Disaster Prediction App

View the application here: https://natural-disaster-predictions.onrender.com

Introduction

U.S. Natural Disaster Predictions is a data science app utilizing FEMA data on natural disasters declared in the U.S. between 1953 and 2023. This app aims to predict and identify potential natural disasters, specifically focused on the most common disasters in the U.S. - severe storms, hurricanes, floods, fires, and tornadoes. Please note, this project is educational only and is not guaranteed to provide accurate predictions.

Data Source

U.S. Natural Disaster Declarations on Kaggle
Country-wide data from the Federal Emergency Management Agency (FEMA) from 1953 to 2023.

Tech Stack

Data Analysis: Matplotlib, Numpy, Pandas, Seaborn
Modeling: Python, Scikit-learn, TensorFlow
Deployment: D3, Flask, MUI, React, Render

Contributors

This app was built by Trevor Kortum and Kelsey Low as part of the 4Geeks Academy Data Science and Machine Learning Bootcamp.