grade warning

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  output

Inspiration

Students usually struggle about whether they are in the danger of failing the class before late drop. So I think that if there is a system that can predict whether the student will fail or not based on the first two midterm grades. It might be useful.

What it does

It can use grades and failing result from the past to predict whether the student is in the danger of failing the class.

How I built it

The program will read in grades data and failing result from the past and use it to form three points. First is the average of the student who passed the class. Second is the average of the student who passed the class times the pass percentage plus the average of the student who failed the class times the failed percentage. Third is the average of the student who failed the class. Using this three points to see which range is the student in and return the suggestion message.

What's next for grade warning

It can add in machine learning code and make the result more accurate. Also, we can turn it into a system that will automatically send warning emails to those students who might have danger in failing the class.

Built With

• python