University of Central Florida
SkillTwin AI: Dynamic, Constraint-Aware Dual Digital Twins for Caregiver Returners
Dynamic labor-market and candidate twins to generate constraint-fit pathways, microlearning, and employer-validated readiness - helping caregiver returners reach higher-quality, sustainable roles faster and reducing churn for employers.
SkillTwin supports Florida women re-entering quality jobs after caregiving using two continuously updated digital twins: a Workforce Marketplace Twin (demand, wages, job quality, flexibility) and a consent-based Candidate Twin (skills, constraints, readiness evidence). A constraint-aware Pathway Engine proposes 2-4 realistic routes and updates them as conditions change. ModelMind delivers microlearning; AppleOne validates readiness with standardized rubrics and work samples. Outputs include dashboards and a replication toolkit that helps employers adopt caregiver-supportive hiring.
Primary Barrier
Caregiving Responsibilities
Location
Florida
Solution Region
South Atlantic
Community Type
Urban
Annual Operating Budget
$25.1 to 50 Million
