FEMA Daily Operations Briefing: Email → RSS (→ CSV)
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Updated
May 23, 2024 - Python
FEMA Daily Operations Briefing: Email → RSS (→ CSV)
FEMA’s list of Skillsets (& associated Skills/Tasks) help Emergency Operation Centers (EOCs) qualify personnel. Common Skillsets suggest training & provide a standardized vocabulary to specify personnel skills between EOCs. This repository contains derivative products of the FEMA skillsets to aid in their effective use.
Machine learning based natural disaster prediction for US counties
New York City's Preliminary Flood Insurance Rate Map (PFIRM) Data Analysis.
Exploring National Flood Insurance Program (NFIP) Data for New York City.
The FEMA Image Attachment Generator is a Python app for creating PDF attachment pages for FEMA Elevation Certificates. It embeds up to 4 images with user-defined descriptions into a PDF, complete with a header featuring key property details. Ideal for quickly generating compliant attachment pages.
There is where context is woven into the chaos
MERN Stack Web App for FEMA Firestations Listings
A TypeScript & Angular Client for the openFEMA datasets/APIs
R interface for various datasets in US disaster aid funding. Includes cleaned datasets from NOAA, FEMA, HUD, and SBA.
This is a dimensional data warehouse that seeks to provide insights into the raw data that FEMA provides publicly for its Individual and Housing Program. I used Jupyter Notebook, Python (Pandas, NumPy, Pyodbc), and SQL to perform ETL on the dataset, loading the warehouse based on the schema I designed. I created visualizations using Tableau from…
The PyDisaster project uses a master function that extracts GPS location and EXIF data from photos submitted to our Flask application platform, and opens a Google Maps search of the location. This project is geared towards helping FEMA conduct damage assessments in areas effected by natural disasters.
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