GraphRAG over aviation safety incident reports for causal reasoning and safety pattern extraction
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Updated
May 7, 2026 - Python
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
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
Open-source Python tooling for collecting, normalizing, monitoring, and self-hosting Korean NOTAM data.
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.
A comprehensive historical analysis of aviation incidents to identify safety trends, manufacturer reliability, and survival factors.
Aviation safety ML pipeline fusing physiological ECG/HRV signals and human factors to predict pilot fatigue risk (81.56% benchmark accuracy).
Superseded by allofdaniel/korean-notam-api. Kept for earlier staging history.
An API that uses aircraft performance data, and Canadian aviation rules, regulations and definitions, to produce VFR flight plans
ML-driven aircraft failure cascade analysis — physics simulation + XGBoost/Transformer + NTSB validation
av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.
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