FlightSense boosts flight delay prediction AUC to 0.879 by adding 11 aircraft rotation-chain propagation features and weather inputs in a deployed AWS system with agentic conversational AI.
A novel hybrid method for flight departure delay prediction using random forest regression and maximal information coefficient
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FlightSense: An End-to-End MLOps Platform for Real-Time Flight Delay Prediction via Rotation-Chain Propagation Features and Agentic Conversational AI
FlightSense boosts flight delay prediction AUC to 0.879 by adding 11 aircraft rotation-chain propagation features and weather inputs in a deployed AWS system with agentic conversational AI.