Fight Delay Calculator ✈️

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  UI of the project

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  Overview of the dataset

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  Results of the model

Inspiration

Knowing if your flight will depart late or not is .

What it does

Given a date and/or flight details, the model will display the expected number of minutes, if any, you would wait.

How we built it

I built this using XGBboost as a very strong ML model for regression, and followed ML principles I have practiced in kaggle competitions.

Challenges we ran into

I did not have enough time to create a UI for the project so ended up using Akkio.

Accomplishments that we're proud of

The accuracy of the model, the intuitive and clean UI, the ability it has to predict data on bulk.

What we learned

I learnt how to use data-exploring software, other than that the process was similar to a kaggle competition.

What's next for Fight Departure Delay Calculator ✈️

These were to be included in the main project, but due to lack of time were not implemented.

1. Self-hosting the project
2. Converting the airport IDs to the name of the airport and make them searchable.

Built With

• csv
• jupyter
• python