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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22442

Flight Ticket Price Prediction Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22442

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PS

Prof.Ghadge S.S

KP

Kamble Priya

TK

Throat Komal

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Abstract

The study uses past flight schedules, route data, and ticket prices to estimate airline ticket costs using machine learning regression. For ease of use and functionality, it has admin and user modules. Registering and logging in allows users to upload flight data for precise cost estimates. Ensuring continuous efficacy, the admin module makes data administration and system maintenance easier. The objective is to improve overall travel planning experiences by providing travelers with data-driven insights to help them make wise decisions and maximize the value of their airline ticket purchases.

KEYWORDS

Machine learning Flight ticket Prediction Flight fare.

Cite This Article

Prof.Ghadge S.S, Kamble Priya, Throat Komal, "Flight Ticket Price Prediction Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM22442

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Publication Date

7/20/2024

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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