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.
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
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.
A professional, high-performance web tool for calculating and verifying regulatory minima across all aircraft categories (CAT A/B/C/D). This application provides instant compliance checking for Precision, Non-Precision, and Circling procedures.
EursiaAero AD/CN Explorer – EASA Airworthiness Directives & Consignes de Navigabilité
A project analyzing Bird Strike incidents with data visualizations and dashboards.
Workload, complexity, and safety in air traffic control — under review at Journal of Air Transport Management
Superseded by allofdaniel/korean-notam-api. Kept for earlier staging history.
av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.
A comprehensive historical analysis of aviation incidents to identify safety trends, manufacturer reliability, and survival factors.
A google maps inspired navigation tool for paramotorists , and other light aircraft
AirCPA is an offline analysis tool for deterministic air traffic conflict detection based on Closest Point of Approach (CPA) prediction using historic ADS-B state vector data.
Open-source Python tooling for collecting, normalizing, monitoring, and self-hosting Korean NOTAM data.
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