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.)
We are joined in this effort by five students in the capstone project course in the OSU Department of Electrical Engineering and Computer Science.
This team will develop artificial intelligence agents that will scan provider websites for all pertinent information and convert it to a normalized format for upload to our provider
database. This will eliminate untold hours of human labor, and can be scheduled for regular scan and update.
Next step: using the AI agents, we will extract provider information from as many of the 208 national 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 agents.
Ideally, in emergencies our AI engine will continually update shelter information.
Concurrently, we will 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).