Combating Food Insecurity Through AI
Although we are a well-resourced nation, 12% of Americans lack access to the nutritious food they need to live a healthy life. AI-FEED is an innovative platform using artificial intelligence to fix the broken food charity ecosystem. Beginning in Texas and moving across the U.S., AI-FEED will be a game changer for significant action to support nutrition security as it connects food charities, donors, clients, and community leaders, in optimizing food resources and supporting greater community flourishing.
AI-FEED Research Objectives
We're developing a multi-faceted platform targeting the needs of diverse stakeholders. Each module incorporates a Learn, Act, Educate philosophy, based on key challenges we've identified.
Optimizing Food Charities
Built to minimize food waste, this module predicts current client needs and educates on food nutrition, contributing to healthier lifestyles.
Empowering Community Leaders
Focused on redefining and modeling healthy food access areas, this module provides actionable insights for policy changes and community presentations.
Engaging Food Donors
Receive real-time alerts for food charity needs and track your community impact with our interactive dashboard.
Supporting Food Clients
Easily connect with food charities and access home food delivery services, all while learning more about nutritious food choices.
Partners and Collaborators
We are an interdisciplinary team composed of members from The University of Houston, The University of Texas, and The Souper Bowl of Caring.
Our current partners include: Bivins Foundation, Brighter Bites, Catholic Charities Fort Worth/Wichita Falls, Christian Community Service Center, DairyMax, Hearts and Hands of Baytown, and St. Paul’s Food Pantry Baytown.
Join AI-FEED's Mission
Join us in our mission to leverage AI for addressing food security challenges. Your involvement can make a difference in ensuring equitable food distribution and sustainability.
AI-FEED
Artificial-Intelligence-Based Decision Support for Equitable Food and Nutrition Security in the Houston Area
Reach out to us for collaborations, inquiries, or to learn more about our initiatives. We're based at the University of Houston and are eager to hear from you.
Contact
Computational Biomedicine Lab
c/o Ioannis A Kakadiaris
University of Houston
4349 MLK Blvd, Rm 322
Houston, TX 77204-6022
Support
AI-FEED is supported by the National Science Foundation under Grant No. 2236305. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.