GraphRAG over aviation safety incident reports for causal reasoning and safety pattern extraction
a dataset + scripts for all 2010-2025 aviation accidents
SQL and Python Scripts for OpenSky Trino Database Analysis. This release includes SQL scripts and Python code for analyzing ADS-B messages stored in the OpenSky Trino database.
Project to bring weather webcams to airports for safety and awareness.
Jatayu - ML-powered bird strike prediction and aviation safety intelligence platform with real-time dashboards
a CAROL query API for the National Transportation Safety Board
Aviation Accident Database Analysis Tools for NTSB Datasets (1962-present) - includes MDB extraction scripts, SQL query tools, Python analysis examples, and comprehensive documentation.
🤗 항공 안전 도메인에 특화된 한국어 BERT 모델
Open-source Python tooling for collecting, normalizing, monitoring, and self-hosting Korean NOTAM data.
AirLang is a domain-specific language for aviation flight planning and operations, featuring a complete compiler toolchain with 7-phase compilation, and specialized aviation calculations. Deployed as a standalone application with comprehensive documentation and examples
iOS App that aims to improve safety amongst glider pilots by making the pilot's practice state easily accessible. Written with SwiftUI.
EursiaAero AD/CN Explorer – EASA Airworthiness Directives & Consignes de Navigabilité
A project analyzing Bird Strike incidents with data visualizations and dashboards.
Airline-style flight data monitoring (FOQA) for MSFS 2024: records every flight like a flight data recorder, checks it against sourced aviation limits and debriefs you. Rust, Tauri, in-sim EFB app.
Aviation safety ML pipeline fusing physiological ECG/HRV signals and human factors to predict pilot fatigue risk (81.56% benchmark accuracy).
A comprehensive historical analysis of aviation incidents to identify safety trends, manufacturer reliability, and survival factors.
An API that uses aircraft performance data, and Canadian aviation rules, regulations and definitions, to produce VFR flight plans
Superseded by allofdaniel/korean-notam-api. Kept for earlier staging history.
Machine Learning-Driven Clear Air Turbulence Prediction for Operational Aviation Safety
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