Leverage AI technology to rapidly obtain answers to aviation regulatory questions.
A Toolkit for Aviation Geeks
Find the cheapest and most convenient flights.
jacktol
An aviation traffic control speech recognition model fine-tuned based on the OpenAI Whisper Large v3 model, specifically optimized for ATC communication scenarios. It achieved a word error rate of 6.5% on the test set, significantly improving the accuracy of aviation communication transcription.
sail-rvc
Real-time voice conversion model supporting voice conversion in aviation scenarios
This project is an MCP server based on the AviationStack API. It provides query tools for real-time and future flight data, aircraft types, and detailed information, facilitating the integration of aviation data into applications.
The Aviationstack MCP server is a service based on the Model Context Protocol, providing tools for interacting with the AviationStack API to obtain aviation data such as real-time flights, future flights, and aircraft types.
A real-time flight tracking MCP server based on the AviationStack API, providing flight status query, flight search, and detailed flight information retrieval functions.
An aviation ticket query server based on the model context protocol, providing standardized real-time dynamic flight query interfaces, supporting multiple transmission protocols and a modular architecture.
This project demonstrates how to build and use an MCP server to obtain aviation weather data.
A real-time flight tracking MCP server based on the AviationStack API that provides flight status query, flight search, and detailed information acquisition functions.
An MCP server that provides aviation weather information. It obtains data such as METAR, TAF, and PIREP by connecting to the Aviation Weather API for flight planning reference (not for actual flight decision-making).
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