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Predict User Burnout Risk Using Health Data

68 XP Deadline: May 31 HealthTech Data Analysis

Challenge Overview

Analyze health data (sleep, screen time, mood) and predict burnout using ML models: Using sample datasets (sleep hours, screen time, mood ratings), apply basic machine learning to predict the risk of user burnout. Present model insights and explain your prediction logic with graphs and storytelling.

Timeline

📅 Launch

May 1

📤 Submission Deadline

May 31

🏆 Winners Announced

May 31

Rewards

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