Data and code for replicating the AEPP paper "Machine learning for food security: Principles for transparency and usability"

Web application for food pantries. Volunteer registration and approval. Creating physical sites and time windows for volunteers to sign up to cover.

Inspired by the obscurity of smaller scale food organizations, Caring Cranes has decided to build Hidden Hunger to aid users in finding a food organization near their personal location.

A user-friendly web app which leverages Daily Shelter Occupancy Data to assist those experiencing (or at risk of) homelessness & meal insecurity, by providing the latest shelter occupancy updates and real-time drop in meal schedules.

This is a research project about using Sentiment Analysis to analyze the sentiment of food insecurity related tweets from Twitter.

A public repository on predicting food crises using news streams for replication.

This repository contains analysis of the indicators of food insecurity

Food desert predictor at Census Tract level for NYC 5 boroughs. (Flatiron Capstone project)

Using regression models to project food insecurity rates in the US, by county for the year 2020 (Flatiron Capstone Project)

Analysis of publicly available data to identify areas with food access challenges. Study of a link between food insecurity and prevalence of chronic conditions.

An in-depth regression and time-series study on food insecurity in America

A mutual aid project attempting to solve communication problems relating to public community fridges (freedges) in the Boston area.

Empowering social impact through real-time sentiment analysis on Twitter. Uncover insights into food insecurity risks, bridging technology and humanitarian efforts.

Analysis for food insecurity in AZ and USA.

Analysis of USDA Food Access Research Atlas data and Census household income data to examine food insecurity in Tennessee.

Data Analysis Project on prices of healthy food categories, cost and affordability of a healthy diet, and food insecurity around the world.

This repository contains the final code, report and presentation used for the project titled 'Analysis of factors that influence food insecurity'. This project was done for the PPOL 564 - Data Science 1 : Foundations class @ GU.

A data analysis of the food insecurity households face in relation to their income and location

Interactive map of Davidson County census tracts, displaying which communities struggle with extreme poverty and food insecurity, and comparing that with local available grocery resources.