2025

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Design, development and automation of airline cabin crew screening and testing
(UMT.Lahore, 2025) Nimra Shan; Razeen Sohail; Amna Sehar
The objective of this thesis is to automate the screening and testing of cabin crew. Using data driven evaluation tools instead of traditional manual reviews aims to more accurately identify high potential candidates while promoting consistency, fairness, and less recruiter bias. This research used a quantitative design to create an automated screening system for AirSial's cabin crew screening. Google Forms used to give out some standardized tests that looked at things like IQ, emotional intelligence, personality, aviation smarts, and how well candidates knew the company. Then, they crunched the numbers to make sure everything was fair and consistent. Real-time scoring really made hiring easier and more efficient. This study shows how automated tools for screening and testing can help pick the right candidates better than the usual methods. So, if companies want to boost their workforce quality, match candidates to jobs better, and speed up the screening process, it gives them a useful model to follow. For airlines like AirSial, this approach can really help with screening, especially for roles that tend to have a lot of turn over, like cabin crew. Keywords: Screening and Testing, Human Capital Management, Automated Assessments, Google Forms.