AI-Powered Flight Delay Prediction System Using Historical and Real-Time Data

Design a predictive system that estimates flight delays using historical flight data, weather information, and operational metrics, helping passengers and airport staff manage schedules efficiently.

Collect historical flight schedules, operational data, and weather conditions.

Preprocess datasets and extract relevant features.

Train machine learning models to predict delay probability and duration.

Visualize predictions and alerts on an airport operations dashboard.

Test system predictions against actual flight delays.

Document methodology, dataset sources, and predictive model performance.