Stress-Prediction-Using-HRV
The premium Open Source alternative to Whoop
🎯 Best for:Researchers building stress-detection features into health applications.
What is Stress-Prediction-Using-HRV?
Replaces black-box stress metrics found in commercial wearables with transparent machine learning models. Utilizes the SWELL dataset to classify stress states based on Heart Rate Variability data.
Tech Stack
Jupyter NotebookMental Health
Why Stress-Prediction-Using-HRV?
- • Validated on SWELL dataset
- • Transparent feature engineering
- • Supports multiple ML architectures
Limitations
- • Requires data science expertise
- • Not a consumer-ready app
- • Limited to HRV input
2/5/2026
Last Update
9
Forks
0
Issues
Unknown
License
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Competitor Cost
-$1,440
/ year (est. based on Whoop)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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