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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. Keyword: Machine learning, Flight ticket Prediction, Flight fare.
Nagarjun et al. (Sat,) studied this question.