💡[Feature]: Detecting Stress Levels from PPG Sensor Data using ANN #1263
Description
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Feature Description
The goal of this project is to predict stress levels using features derived from Photoplethysmography (PPG) sensor data by employing Artificial Neural Networks (ANNs).
Dataset link: https://www.kaggle.com/datasets/vinayakshanawad/heart-rate-prediction-to-monitor-stress-level?select=Train+Data
Use Case
The project will utilise a machine learning pipeline incorporating CNN, LSTM, and Gated Recurrent Unit (GRU) to predict stress levels from PPG sensor data, including preprocessing, feature engineering, model evaluation.
Benefits
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Priority
High
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