Flight Price Prediction using ML

The Flight Price Prediction Using Machine Learn-ing" project aims to develop an advanced predictive model using machine learning algorithms to accurately estimate airfare prices based on various factors, such as prices, time, hours, location, and seasonal variations.This problem can be categorized as a time series prediction task due to the dynamic nature of airline ticket pricing proposed system is designed to assist customers in determining the optimal time to purchase airline tickets at the lowest price on online platforms.By leveraging machine learning techniques, the project seeks to provide real-time fare predictions, helping travellers make cost-effective decisions.To address the challenges in airfare forecasting, to study and analyze factors such as time variations, airline policies, departure and arrival time locations, luggage,al fluctuations.Through comprehensive data collection and pre-processings model aims to enhance the accuracy of predictions, ultimately benefiting both passengers and airlines in pricing optimization.