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This document presents a machine learning-based Flight Delay Prediction System that utilizes historical flight data, real-time weather conditions, and geospatial distance calculations to forecast flight delays and cancellations. The system employs XGBoost classifiers and regressors, deployed through a Django REST Framework for real-time interaction, enhancing operational efficiency and passenger satisfaction in the aviation sector. The methodology includes data collection, preprocessing, feature engineering

Author

mergusaicharan18

Language

EN