Boarding pass detection ın social media to prevent flight ınformation thft
AuthorEkici, Hasan Oktay
MetadataShow full item record
CitationEkici, HO. (2019). Boarding pass detection ın social media to prevent flight ınformation thft, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye
During the past few years, along with social media gaining bigger share on people’s lives, everyone has started to share their moments with detailed information on multiple platforms instantly. Sharing these kinds of information on posts may cause security bugs in people’s lives, such as undesired flight changes/cancellations because of flight information theft, frequent flyers miles theft, and even car theft and burglary. This project’s aim is to develop an artificial intelligence algorithm that can help to prevent these security bugs. In this project, we use data that is collected from instagram posts that contain boarding passes. Our main purpose is to build an artificial intelligence that makes decisions and processes following procedures: a machine learning algorithm that decides if the shared instagram post contains a boarding pass shared with #boardingpass; an optical character recognition algorithm that gathers text information from the post and scripts that send the information instantly to the relevant air carrier about the shared post. With this information, air carrier will be able to inform the passenger about their concern on the flight safety only in a couple of minutes after the post is shared.