An Interactive Streamlit App Dashboard to analyze and predict the expected Flight Delays based on weather, airlines and flight origin-destination Streamlit module to improve the travel experience. These models help stakeholders make data-driven decisions, like optimizing schedules or managing airport resources. You can try here.
Data from the Bureau of Transportation Statistics (bts.gov) collected during 01 June 2024 to 30 June 2024, were analyzed to assess Flight Delay Predictions
- Decision Tree and KNN models built, trained to predict flight delays
- Neural Network to predict the Flight delay
Neha Korrapati, Leela Josna Kona, Devangi Samal, Sammie Srabani
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Identify potential delay flights
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Building a strategies to predict most common reason for delay
- Bureau of Transportation Statistics (bts.gov)
- Predict avg duration of delay – Regression
- Suggest alternative flights