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AirOpsAI: Unleashing the Power of AI and Data Science to Revolutionise the Airlines Operations

Kulaye, Shreyal Ashok (2023) AirOpsAI: Unleashing the Power of AI and Data Science to Revolutionise the Airlines Operations. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research goes beyond traditional goals in the quest of expanding AI-driven innovations in the aviation sector, intending to improve customer happiness and estimate airline ticket costs. The research, positioned as a catalyst for ushering in a new age in aviation, displays a consistent commitment to solving modern difficulties and adapting to the dynamic environment of global transportation.

The expected outputs demonstrate a thorough grasp of essential topics, including ticket price forecasts, customer satisfaction prioritisation, and airline operations optimisation. By addressing the current limitations inherent in previous research, the research not only displays a dedication to fixing these obstacles, but it also represents a proactive effort to improving security standards, raising traveler pleasure, and maximising operating efficiency. In essence, our research reflects a commitment to pioneering breakthroughs that transcend traditional bounds, providing transformational answers to the multifarious difficulties confronting the aviation sector today.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Qayum, Abdul
UNSPECIFIED
Uncontrolled Keywords: Airline Operations; Artificial intelligence; Airopsai; Machine Learning; Video Surveillance; Airlines Revolution; Weapon Detection; Baggage Scanning; Flight Delay; Real Time Flight Status
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence
H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Aviation Industry
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Ciara O'Brien
Date Deposited: 15 May 2025 15:43
Last Modified: 15 May 2025 15:44
URI: https://norma.ncirl.ie/id/eprint/7554

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