CS411 Flight Ticket Predictor

This project was done as part of the CS411 Database Systems curriculum

Purchasing tickets online can pose challenges, especially when it's unclear whether a ticket's price offers good or poor value. This application aims to address this concern by predicting and providing comprehensive information on flights for the upcoming 7 days. Leveraging data on the economy class of major airlines such as United Airlines, American Airlines, Air Canada, and Alaska Airlines, connecting three major cities—San Francisco, Chicago, and Los Angeles—from Google Flights, our application will forecast and provide a timeline illustrating the fluctuation of ticket prices over time. This timeline offers users a detailed understanding of when prices are likely to increase or decrease. The inclusion of a price history graph further enhances user decision-making by enabling them to determine whether the current moment is opportune for purchasing a flight ticket.


Skills:
SQL Vue Google Cloud Platform Python Flask API Team Project