a dataset + scripts for all 2010-2025 aviation accidents

a CAROL query API for the National Transportation Safety Board

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.

iOS App that aims to improve safety amongst glider pilots by making the pilot's practice state easily accessible. Written with SwiftUI.

🤗 항공 안전 도메인에 특화된 한국어 BERT 모델 ✈️

Emergency Landing site geospatial tool

AirLang: 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

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.

A project analyzing Bird Strike incidents with data visualizations and dashboards.

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.

EursiaAero AD/CN Explorer – EASA Airworthiness Directives & Consignes de Navigabilité

Aviation Accident Database Analysis Tools for NTSB Datasets (1962-present) - includes MDB extraction scripts, SQL query tools, Python analysis examples, and comprehensive documentation.

av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.

An API that uses aircraft performance data, and Canadian aviation rules, regulations and definitions, to produce VFR flight plans

A google maps inspired navigation tool for paramotorists , and other light aircraft

Machine learning model for aviation accident risk prediction using ACAS and air traffic complexity data. Includes ONNX model export for deployment.

Join our mission to enhance aviation safety by diving into a century's worth of aerial accidents. As the data analyst for the International Civil Aviation Organization (ICAO), I've meticulously examined data, conducted extensive analyses, and developed an interactive Tableau Dashboard to provide insightful visualizations.

SkyWalk is a tool that is developed to help pilots become more aware of the various aspects of their flight plan as it can address situations that may need extra attention.

Risk quantification of UAS (drones) in the real world using OSM data.

This project investigates the impact of flight type, crash cause, and region on fatality rates using t-tests, proportion tests, ANOVA, and linear regression. Developed for the Foundations of Machine Learning course, demonstrating proficiency in hypothesis testing, statistical modelling, and data-driven decision-making.