Detecting Stress Levels from PPG Sensor Data using ANN #889

[juned-pinjari]

Issue Title: Detecting Stress Levels from PPG Sensor Data using ANN

• Info about the related issue: Predict stress levels (No Stress /
  Interruption / Time Pressure) from PPG/HRV sensor data using deep learning
• Name: Juned Pinjari
• GitHub ID: @juned-pinjari
• Identify yourself: GSSoC 2026 Contributor

Closes: #889

Describe the add-ons or changes made 📃

Added complete project: EDA, preprocessing, 4 DL models (ANN, 1D-CNN, LSTM, GRU),
visualizations, and Streamlit web app.

Model	Test Accuracy
ANN	99.93%
1D-CNN	99.99% ✅ Best
LSTM	99.90%
GRU	99.94%

Type of change

• New feature (non-breaking change which adds functionality)

How Has This Been Tested?

All 4 models trained and evaluated on 73,858 test samples.
Web app tested locally with Streamlit.

Checklist

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have made corresponding changes to the documentation.
• I have added things that prove my fix is effective or that my feature works.

[github-actions]

Our team will soon review your PR. Thanks @juned-pinjari :)