Flight delays are not only bothersome but also widespread, causing over 200,000 hours of combined delay annually in just 20 of the busiest airports in the United States. This results in a staggering $32.9 billion annual economic loss for the US. The ability to understand the
contributing factors and predict delays is crucial for better preparation and minimizing the impact. To address this issue, we utilized 12 years of data from the Bureau of Transportation Statistics in the US - (https://www.transtats.bts.gov/HomeDrillChart.asp). The dataset was refined to focus on flights between the top 20 busiest airports, operated by the top 8 airline carriers in US. We employed a random forest model for training, predicting both the likelihood of delay and quantifying the delay duration. A user-friendly website (https://willmyflightbelate.streamlit.app/) was developed to enhance the overall experience