Real-time aircraft localization prediction based on crowdsourced air traffic control communication data (ADS-B)

Developed for analysing and visualizing trends related to electricity and energy consumption

This project implemented a lambda architecture for analyzing domestic flight data in the US from 2009 to 2020. It used Apache Spark for batch processing, Spark Streaming for real-time analysis, and SVM models to predict flight cancellations and delays, with Docker for cluster management and Grafana for real-time visualization.