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06 / CASE STUDY
DOE/JAS (via Scienotech–PSTW)
AIR AI EQMP Forecast Service
Python / AI engineer on a 10-station CNN air-quality forecast service (TensorFlow/Keras regression) — CDS/FIRMS data extractors, nine forecast APIs, and cron scheduling.
Scope
What was actually built.
Ten-station CNN air-quality forecast service (TensorFlow/Keras regression) — CDS/FIRMS data extractors, nine forecast APIs, and cron scheduling. RMSE 11.05 / correlation 0.88 treated as an artifact/sample metric only.
Open project