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Artificial Intelligence Masterclass

"Fitbit and ChatGPT Data Walkthrough: Finding Out Why I’m So Tired" - AI MASTERCLASS

Feb 18, 2025
Dive into the intriguing analysis of how Fitbit data and AI intertwine to tackle chronic fatigue. Discover the impact of sleep and activity patterns on energy levels, especially for those managing ADHD. The discussion highlights the importance of wearable technology in understanding exercise, stress management, and overall wellness. Uncover vital connections between physical activity, rest, and recovery, revealing why tracking these metrics can be a game changer for energy management.
25:07

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Quick takeaways

  • Combining Fitbit data with ChatGPT analytics reveals that multiple health metrics, including readiness, steps, and sleep, significantly affect energy levels.
  • For individuals with ADHD, understanding and monitoring recovery through readiness scores is crucial to prevent overtraining and exhaustion.

Deep dives

Tracking Energy Levels with Data

Using Fitbit data and ChatGPT, the effectiveness of tracking key health metrics is highlighted. The alignment between readiness score, step count, and sleep duration consistently predicts high energy levels. Good days are correlated with high readiness scores, a high step count, and adequate sleep, while low readiness scores can foretell bad days. The analysis reveals that relying solely on heart rate variability was misleading, emphasizing the need to consider a combination of metrics for accurate insights.

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