Inspiration-To identify the signs of burnout in an employee and take necessary steps to prevent it.
What it does-it predicts the value of the employee burnout based on the various attributes.
How we built it-used Machine Learning models and algorithms.
Challenges we ran into-Selecting the model which gave the least error.
Accomplishments that we're proud of-Completing this project on time.
What we learned-learnt how to select the best model for the dataset and to improve the accuracy.
What's next for Employee_Burnout_Prediction-Will make an app that would help the company for their employees.
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