The application's query engine, including its content management system (CMS), works exceptionally well. (This
schema
portrays our user interface/experience approach and also how we will use data analytics to feed back information to providers and foundations.)
In August we submitted a proposal for a senior year capstone course project to the OSU Department of Electrical Engineering and Computer Science to have students develop artificial intelligence
agents that will scrape websites for all available provider information and place it in a format for upload to our provider
database. This will eliminate untold hours of human labor, and can be scheduled for regular scan and update. On August 18, 2025
our proposal was accepted and approved
by OSU's EE/CS Department.
Next step: using the AI crawler, extract provider information from as many of the 208 food banks, starting with the Oregon Food Bank's 610 pantries and other sources of free food, in the United States as we can. Similarly, develop a strategy for obtaining provider information
about all the homeless shelters, emergency shelters and domestic violence shelters in the country using similar AI agents.
Ideally, in emergencies our AI engine will continually update shelter information.
Concurrently we want to complete the design of a friendly, satisfying user experience (UX) and easily navigable user interface (UI) for the front end of the application (possibly incorporating
artificial intelligence).