Streamlit App to predict burnout risk giving adaptive feedback and trends over time.
Hi everyone!
I’ve just launched a new Streamlit app that predicts burnout risk using an XGBoost regressor and several psychological/workload variables. 
This tool is for informational/educational use only. It does not provide medical advice.
The goal is to help people understand their burnout patterns early and get personalised feedback.
App Features
1. Burnout Prediction (XGBoost Regressor)
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Uses an XGBoost model trained on burnout-related variables
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Outputs a burnout score and interprets the risk level
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Adaptive feedback explains which factors matter most
2. Burnout Trend Graph Over Time
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Logged-in or returning users can track their burnout prediction across days
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Line chart shows how your risk changes over time
3. Optional Guest Sign-In
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No account required — anonymous sessions supported
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Auto-cookies store temporary data
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Simple username sign-in available for persistent data storage
4. Comparison Graph
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Plots your burnout variables relative to the full dataset distribution
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Helps you see exactly which areas you’re above or below average in
Try the App
Live App:
Feedback Wanted!
I’d love suggestions from the community on:
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Improving the UX/UI
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Better methods for explaining the model output
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Ideas to visualise burnout dimensions more clearly
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Any thoughts on uploading anonymous datasets so users can compare themselves more accurately
Thanks for checking it out!
Happy to answer questions or collaborate!