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mindpulse – AI Model by AtharvaXX | AlphaNeural AI

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AtharvaXX/
mindpulse

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random_forest_regressor

tabular-regression

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MindPulse Engagement Model

This model predicts child engagement score (0..1) from wearable physiological features:

heart_rate
hrv_rmssd
motion_level
hr_baseline
rmssd_baseline

Training Target

engagement_score

Data Processing Logic

HR_norm = (heart_rate - hr_baseline) / hr_baseline
RMSSD_norm = hrv_rmssd / rmssd_baseline
arousal = normalize(HR_norm)
valence = normalize(RMSSD_norm)
engagement_score = arousal * valence (bounded to 0..1)

Usage

Load mindpulse_rf.joblib and run prediction with all 5 input features.

Repository: https://huggingface.co/AtharvaXX/mindpulse