A public repository on predicting food crises using news streams for replication.
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Updated
Apr 11, 2024 - Python
A public repository on predicting food crises using news streams for replication.
[AEPP 2022] 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.
Machine learning model to forecast food security indicators using historical data and external factors like macroeconomics, market prices, weather, and conflicts.
This is a research project about using Sentiment Analysis to analyze the sentiment of food insecurity related tweets from Twitter.
Maine Bread of Life website project/development files for site
This repository contains analysis of the indicators of food insecurity
A document archive for the U.S. Government's flagship global food security initiative - Feed the Future
Python implementation of FAO's Food Insecurity Experience Scale (SDG 2.1.2)
A mutual aid project attempting to solve communication problems relating to public community fridges (freedges) in the Boston area.
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)
An in-depth regression and time-series study on food insecurity in America
Analysis of publicly available data to identify areas with food access challenges. Study of a link between food insecurity and prevalence of chronic conditions.
Empowering social impact through real-time sentiment analysis on Twitter. Uncover insights into food insecurity risks, bridging technology and humanitarian efforts.
Analysis of USDA Food Access Research Atlas data and Census household income data to examine food insecurity in Tennessee.
A unified platform of community-powered AI solutions tackling food insecurity, unemployment, accessibility, sustainable mobility, civic resilience, and quantum-age education. The name "gmoon" is the English-phonetic spelling of "dimun," which means "human" in Mauritian Creole, the native language of the repository owner.
Analysis for food insecurity in AZ and USA.
Data Analysis Project on prices of healthy food categories, cost and affordability of a healthy diet, and food insecurity around the world.
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