Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
Document Type
Event
Start Date
22-4-2026 4:00 PM
Description
Each year, approximately 600–700 young people age out of the Georgia foster care system with no permanent family, no housing plan, and no clear guide beyond a 250‑page state transition PDF. The outcomes are severe: high rates of homelessness, low college completion, and unstable employment. Nest is an AI‑powered, mobile‑first web application that turns this overwhelming bureaucracy into a personalized 90‑day transition plan generated in under 60 seconds. Through a short conversational intake, the system collects a youth’s age, county, housing status, and education or work goals, then uses a deterministic rules engine to determine likely eligibility for key programs such as Extended Youth Support Services (EYSS), Chafee Education and Training Vouchers, former‑foster‑care Medicaid coverage, SNAP, and KSU’s ASCEND program. A Retrieval‑Augmented Generation (RAG) pipeline grounded in a curated Georgia‑specific resource database explains each recommendation with citations and step‑by‑step actions, reducing hallucination risk. The prototype is implemented with a React/Tailwind frontend and FastAPI backend and is explicitly designed around trauma‑informed UX principles so that transition‑age foster youth receive not just information, but an actionable, deadline‑driven plan and a “caring adult in their pocket.”
Included in
UC-151-197 Nest: An AI-Powered Transition Navigator for Aging-Out Foster Youth in Georgia
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
Each year, approximately 600–700 young people age out of the Georgia foster care system with no permanent family, no housing plan, and no clear guide beyond a 250‑page state transition PDF. The outcomes are severe: high rates of homelessness, low college completion, and unstable employment. Nest is an AI‑powered, mobile‑first web application that turns this overwhelming bureaucracy into a personalized 90‑day transition plan generated in under 60 seconds. Through a short conversational intake, the system collects a youth’s age, county, housing status, and education or work goals, then uses a deterministic rules engine to determine likely eligibility for key programs such as Extended Youth Support Services (EYSS), Chafee Education and Training Vouchers, former‑foster‑care Medicaid coverage, SNAP, and KSU’s ASCEND program. A Retrieval‑Augmented Generation (RAG) pipeline grounded in a curated Georgia‑specific resource database explains each recommendation with citations and step‑by‑step actions, reducing hallucination risk. The prototype is implemented with a React/Tailwind frontend and FastAPI backend and is explicitly designed around trauma‑informed UX principles so that transition‑age foster youth receive not just information, but an actionable, deadline‑driven plan and a “caring adult in their pocket.”