Real-Time Flight Delay Prediction
๐ Project Overview This project demonstrates an end-to-end flight delay prediction system. By integrating Tableau with Python (TabPy), the system fetches live weather data from the NOAA API and runs a Logistic Regression model (trained on 4M+ records) to predict delays in real-time. ๐ Key Features Hybrid Data Pipeline: Merges historical rolling statistics with live API weather data. Real-time Interaction: Users select flight routes, and the model computes delay probabilities instantly. Explainable AI: Provides top-3 SHAP root cause explanations for every prediction. ๐ Visuals & Poster Since Tableau Public does not support external Python scripts (TabPy), the interactive dashboard above utilizes a static dataset snapshot for demonstration. ...