radoslawkrolikowski/adsb-flight-localization
Real-time aircraft localization prediction based on crowdsourced air traffic control communication data (ADS-B)
Combines Apache Spark and PyTorch for distributed preprocessing of high-volume sensor data with ensemble and deep learning models (TabNet), then streams real-time predictions through Apache Kafka to a Flask/Leaflet.js visualization dashboard. Handles data quality challenges from unsynchronized receivers and sensor localization errors through custom timestamp synchronization and feature extraction pipelines. Supports multiple inference backends (Spark ML, Sklearn, PyTorch) and persists preprocessed data to HDF5 or MariaDB for scalable training workflows.
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May 10, 2021
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