On January 11th, 2023, a failure in the FAA's NOTAM (Notice to Air Missions) system grounded all U.S. flights for two hours. While NOTAMs provide essential flight information, the sheer volume and inclusion of less relevant details make it difficult for pilots to identify critical notices.
This project aims to design a system that:
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Fetches all applicable NOTAMs for a flight, given its departure and destination airports within the continental United States.
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Displays the NOTAMs in a prioritized manner, highlighting the most critical information to help pilots identify potential hazards.
- Language: Python
- DevOps Management: Jira
- Version Control: Git
This project uses airport data from the FAA's Airports and Other Landing Facilities (APT) dataset. To obtain the necessary file:
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Visit the FAA NASR Suscription page: https://www.faa.gov/air_traffic/flight_info/aeronav/aero_data/NASR_Subscription/2025-03-20/.
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Scroll down to the list of downloadable files.
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Find and download the ZIP file labeled: Airports and Other Landing Facilities (APT).
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Extract the ZIP archive on your computer.
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From the etracted contents, locate the file named: APT_BASE.csv.
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Move or copy APT_BASE.csv to the root directory.
- Brian Schettler - Mentor
- Mounir Zahidi - Project Manager
- Tonye Harcourt - Scrum Master
- Jacob Dearborn - Scrum Master
- Donahue Avila - Scrum Master
- Daisy Borja - Scrum Master