AIRLINE DATA ANALYTICS USING MACHINE LEARNING

Authors

  • S.Rajarajacholan Author
  • V.Roopa Reddy Author
  • K.Durga Nikhil Author
  • Lakavath Premchand Author
  • K.Akhil Sai Author

Keywords:

Flight, Delay,, Prediction, Airline, Analytics, Airfare,, assenger satisfaction,, passenger satisfaction, Flask, Stream lit, Airport,

Abstract

n this paper, we describe the formatting guidelines for IJOURNALS Journal Submission. The aviation
industry is a multifaceted ecosystem where operational efficiency, cost-effectiveness, and customer satisfaction
are paramount. This document presents an integrated framework designed to address three critical aspects of
airline management: flight delay prediction, fare price estimation, and customer satisfaction enhancement.
Through the strategic application of advanced data analytics and machine learning, this comprehensive
framework aims to streamline airline operations, optimize pricing strategies, and elevate the overall passenger
experience

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Published

17-04-2024

How to Cite

AIRLINE DATA ANALYTICS USING MACHINE LEARNING. (2024). International Journal of Information Technology and Computer Engineering, 12(2), 46-49. https://ijitce.org/index.php/ijitce/article/view/435

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