EXPERIENCE

Climb the rocks to learn about my experience.

Projects on Repeat

Favorite builds, experiments, and ideas I keep coming back to.

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NeuroTrace

Parkinson's Risk Classifier

Data ScienceComputer VisionFull-Stack ML

Liner Notes

An explainable machine learning web app that screens for Parkinson's-related risk patterns using both clinical questionnaire data and spiral drawing analysis. The app combines two model outputs into a clear risk interpretation for Parkinson's disease.

Tools Used

Python
Streamlit
Scikit-learn
PyTorch
MobileNetV2
OpenCV
SHAP
Pandas
Plotly
Gemini API

Technical Highlights

Multi-modal ML pipeline combining a Random Forest clinical model, MobileNetV2 spiral-drawing CNN, SHAP explainability, and late-fusion risk logic.

↗ GitHub

Live Preview

Screen early. Understand the risk.