https://github.com/4geeksacademy/natural_disasters
Natural disaster risk prediction final project
https://github.com/4geeksacademy/natural_disasters
Last synced: 12 months ago
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Natural disaster risk prediction final project
- Host: GitHub
- URL: https://github.com/4geeksacademy/natural_disasters
- Owner: 4GeeksAcademy
- License: mit
- Created: 2024-12-20T22:38:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-29T20:57:58.000Z (over 1 year ago)
- Last Synced: 2025-04-28T15:49:24.388Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 28.7 MB
- Stars: 2
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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](https://www.kaggle.com/datasets/headsortails/us-natural-disaster-declarations)\
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](https://github.com/tdestryk) and [Kelsey Low](https://github.com/helloklow) as part of the 4Geeks Academy [Data Science and Machine Learning Bootcamp](https://4geeksacademy.com/us/coding-bootcamps/datascience-machine-learning).