disruption-management

Predicts what happens to passengers after their flight is cancelled, where they go, when they'll actually resolve, and what it costs the airport. Classification vs. a transparent benchmark, survival analysis for timing, and a Passenger Half-Life metric that shows which disrupted groups keep generating pressure for hours.

Local-first Azure aviation intelligence platform for synthetic airline operations data, validation, forecasting, delay prediction, maintenance analytics, disruption scoring, monitoring, GenAI-style decision support, Power BI-ready outputs, and Azure architecture mapping.

End-to-end airline disruption recovery system using ML, network analysis, simulation, and optimization for delay recovery decisions.