Improving flight prediction models' accuracy is crucial as the world grows more interconnected and air travel remains a crucial part of international trade and transportation. More accurate and reliable flight prediction tools could have a significant positive impact on the aviation industry, helping with tasks like arrival and departure time prediction, delay estimation, and resource allocation optimization. In order to achieve that goal, this model attempts to offer important insightsin the context of flight price prediction
to run code:
streamlit run /flight_price_prediction/homepage.py