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 ## Introduction
 _The dynamics of flight price predictions_
 
-Flight pricing models have long been of interest to researchers, airline companies, and consumers alike [@sun2024airline]. As global air travel expands, so do the complexities involved in predicting flight prices due to the dynamic nature of factors such as fuel costs, demand fluctuations, and the regulatory environment [@sun2024airline; @belobaba2015global; @international2019economic; @borenstein1994competition]. Predicting flight prices accurately allows both passengers and airlines to optimize travel schedules, with potential economic and environmental benefits [@belobaba2015global]. In recent years, machine learning techniques have been widely adopted in various industries, including aviation, to model complex relationships and predict outcomes such as pricing [@sherly2023machine; @kalampokas2023holistic; @xu2021influential]. For this project, we propose a machine learning-based predictive model designed to estimate future flight prices based on historical data from domestic flight routes to and from India.
+Flight pricing models have long been of interest to researchers, airline companies, and consumers alike [@sun2024airline]. As global air travel expands, so do the complexities involved in predicting flight prices due to the dynamic nature of factors such as fuel costs, demand fluctuations, and the regulatory environment [@sun2024airline; @belobaba2009global; @international2019economic; @borenstein1994competition]. Predicting flight prices accurately allows both passengers and airlines to optimize travel schedules, with potential economic and environmental benefits [@belobaba2015global]. In recent years, machine learning techniques have been widely adopted in various industries, including aviation, to model complex relationships and predict outcomes such as pricing [@sherly2023machine; @kalampokas2023holistic; @xu2021influential]. For this project, we propose a machine learning-based predictive model designed to estimate future flight prices based on historical data from domestic flight routes to and from India.
 
 _The importance of predicting flight prices_