Machine Learning Based Flight Fare Prediction

Since the increase in Air ways travelling in our country and large number of people are buying numerous trip tickets online, passengers are analyzing how the airline companies determine the cost of flight tickets over time. A number of different methods can be used to execute tasks at the appropriate time. Customers desire the less cost tickets available, but airways companies like to make their profits more in order to make total profits in a year as high as required. Airways companies employ a variety of mathematical strategies, such as purchase trend analysis and dynamic pricing, to boost revenue. This is to the customers who estimates the cost of the flight fare before purchasing a ticket. Identifying the best offer or right time to purchase tickets is the most challenging aspect from the standpoint of the customer. There are different methods to make use of prediction system, sophisticated Artificial intelligence and the field of ML. This study highlights the elements and offers guidance for creating an aviation fare prediction model based on machine learning.