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Verified project case study · Labor market intelligence
KAR
A full-stack labor market intelligence application that connects public economic data with model-assisted analysis.
Contribution
What ELI Labz contributed
ELI Labz maintains and extends this fork as a working exploration of labor-market data, AI-exposure scoring, forecasting, and conversational analysis.
Context
The operating problem
Labor-market data is fragmented across datasets and difficult to explore as a connected operational picture. KAR presents macro indicators, occupations, forecasts, and an Ask KAR interface in one application.
Technical approach
How the system was shaped
- Built a React 19 and TanStack Start application with typed server functions and query-driven data loading.
- Connected Bureau of Labor Statistics series with occupation-level views and model-assisted narrative analysis.
- Structured AI exposure across six documented dimensions and exposed multiple forecast horizons.
- Separated public dashboards, scoring, workforce analysis, and conversational exploration into focused routes.
Demonstrated outcomes
What can be inspected
- The public repository documents a runnable full-stack implementation and production build path.
- The application exposes macro readings, occupation exploration, scoring, forecasting, and an AI query surface.
- A live project URL is published from the repository for direct inspection.
Evidence trail
Public sources
Claim boundaries
What this case study does not claim
- • KAR is a fork and adaptation. The case study does not attribute inherited upstream work solely to ELI Labz.
- • Coverage, refresh cadence, forecast quality, and scoring accuracy are project-documented capabilities, not independently audited performance claims.
Technology
ReactTypeScriptTanStack StartTailwind CSSBLS APIGenAI
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