AI-Powered Burnout Risk Prediction System
BurnoutShield is a Machine Learning-based burnout risk prediction system that helps users detect burnout risk early, based on 33 assessment variables covering demographic, work, lifestyle, and psychological indicator data.
Burnout has become a global health crisis. WHO classifies burnout as an occupational phenomenon affecting millions of workers worldwide.
Physical & mental exhaustion
Constant work pressure
Performance & motivation drop
Anxiety & depression
Drastic decline in quality of life
Based on research findings, burnout risk is classified into 4 levels using a Logistic Regression model.
Shows no significant burnout symptoms. Mental and physical condition remains good.
Beginning to show early burnout symptoms. Requires attention and better stress management.
Burnout symptoms are fairly severe. Prompt intervention and counseling are strongly recommended.
Burnout condition is very severe and requires immediate professional care from a psychologist or psychiatrist.
A comprehensive burnout prediction system combining Machine Learning, AI, and calendar integration.
Real-time visualization of burnout prediction results and user statistics. Track burnout risk trends with interactive charts and comprehensive reports.
The assessment consists of 33 variables covering demographic, work, and lifestyle data, along with psychological indicators (PHQ-9, GAD-7, Stress Score).
Predicts burnout risk using a Logistic Regression algorithm trained on tech-industry datasets.
Provides personalized AI-based recommendations from Google Gemini, based on burnout prediction results for each user.
AI recommendations can be synced to Google Calendar as daily routine reminders to support mental health and work-life balance.
Follow these simple steps to start early detection of burnout risk.
Create an account & sign in
Demographic & work data
Fill out the full questionnaire
4-level risk result
Personalized recommendations
Daily routine schedule
An intuitive interface to monitor and manage mental wellbeing.
"Try a 10-minute mindfulness exercise before starting work..."
If you have any questions, suggestions, or need help, feel free to reach out to us.