FAA Data Challenge Project
Sector: Aerospace & Defense • Location: Washington, D.C., United States
Source: University of North Dakota
The UND team is developing an AI-powered program to help air traffic controllers communicate more effectively with pilots, aiming to improve aviation safety. This project utilizes archival radio footage to identify pilots' attitudes during stressful situations, allowing controllers to assist them better.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Finalist |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The UND team is developing an AI-powered program to help air traffic controllers communicate more effectively with pilots, aiming to improve aviation safety. This project utilizes archival radio footage to identify pilots' attitudes during stressful situations, allowing controllers to assist them better. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |