ISSN:2582-5208

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Paper Key : IRJ************260
Author: Ajit Phulmante
Date Published: 17 Nov 2023
Abstract
Airfare price prediction is a critical application of machine learning in the realm of travel and aviation. The dynamic and often unpredictable nature of airline ticket pricing presents challenges for travelers seeking cost-effective options. This study explores the use of machine learning techniques to predict airfare prices, offering travelers the ability to make informed decisions about their flight bookings. Leveraging historical pricing data, this research employs advanced algorithms to model airfare fluctuations, taking into account factors such as booking time, route, airline, and external variables.
DOI LINK : 10.56726/IRJMETS45709 https://www.doi.org/10.56726/IRJMETS45709
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