NeuroBaseline is a lightweight neuro-behavioral screening prototype that tracks personalized stability over time and detects persistent drift using transparent statistical methods.

Backend: python -m uvicorn api:app --reload --host 127.0.0.1 --port 8000

Frontend: npm run dev

• Builds a personalized baseline for each user
• Tracks variability in:
  • Reaction-time consistency
  • Typing rhythm (inter-key interval)
  • Correction frequency (backspace rate)
• Uses change-point detection to flag statistically significant drift
• Outputs an interpretable Neuro Variability Index (NVI)

• Python: NumPy, Pandas, SciPy, statsmodels
• Change-point detection: ruptures
• Visualization: Plotly
• Frontend: React / Next.js

This project is not a diagnostic or medical tool. It provides screening-level insights only, reporting statistical irregularity relative to a user’s own baseline.

• backend/ – data pipeline and NVI computation
• frontend/ – visualization dashboard

• SDG 3: Good Health & Well-Being
• SDG 10: Reduced Inequalities
• SDG 9: Innovation

Haren & David