CURA is a Human-Centered Computing (HCC) initiative that integrates technology, ethics, and pastoral sensitivity to monitor and support the health of elderly clergy. Designed by a Catholic priest and data scientist, it captures not just physical metrics but also emotional and spiritual well-being—offering compassionate care through code.
- Provide a health dashboard for elderly religious members
- Predict early signs of health deterioration (e.g., cardiovascular issues)
- Respect spiritual life and emotional states through daily reflections
- Design for accessibility: large font, low-tech interfaces, and voice options
- Center care, privacy, and dignity in all AI decisions
| Area | Tools |
|---|---|
| Data Analysis | Python, Pandas, Matplotlib, Seaborn |
| Modeling | Scikit-learn, GridSearchCV |
| Interface | Streamlit, HTML/CSS (for later deployment) |
| Data | Synthetic dataset for 45 elderly clergy over 60 days |
| Ethics | Catholic Social Teaching + HCC Design Principles |
- 🧓 Daily logs of mood, heart rate, activity, and spiritual reflections
- 📈 Predictive model for cardiovascular risk
- 📉 Visual analysis of health trends
- 🗣 Voice-based journaling prototype
- 📜 Ethical whitepaper accompanying the system
The dataset includes daily logs from 45 elderly clergy members with:
- Age, Sex, Residence
- Blood Pressure (SBP/DBP)
- Glucose, Pulse, SPO2
- Energy levels, Mood scores
📁 data/cura_45_elderly_health_data.csv
- ✅ Simple Streamlit dashboard
- 📊 Visual summaries for each health metric
- 🧘🏽 Mood and energy tracking
- 🔐 No personal identifiers (privacy-aware)
- 📖 Built-in ethical rationale (see whitepaper)
CURA/
│
├── data/
│ └── cura_45_elderly_health_data.csv
│
├── app/
│ └── CURA_app.py ← Launch dashboard with `streamlit run CURA_app.py`
│
├── notebooks/
│ └── CURA_Health_Data_Analysis.ipynb
│
├── figures/
│ └── [summary charts + visual insights]
│
└── docs/
└── CURA_HCC_Ethics_Whitepaper.md- Designed to respect aging populations
- Avoids profiling or prediction of end-of-life risk
- Prioritizes transparency, data dignity, and contextual care
- Grounded in Catholic social teaching and HCC research
See full write-up: docs/CURA_HCC_Ethics_Whitepaper.md
Install Streamlit and run:
pip install -r requirements.txt
streamlit run app/CURA_app.pyIf you're citing this project, please use:
TChiemela, ND. (2025). CURA: Compassionate Health Monitoring Platform for Elderly Clergy. GitHub. https://github.com/Temela/CURA
Fr. ND
Catholic Priest • Data Scientist • Advocate for Human-Centered Technology
Focused on AI for social good, healthcare ethics, and inclusive civic tech.
LinkedIn • GitHub • tchiemela@gmail.com
- Pilot deployment in religious healthcare settings
- Expansion to multi-lingual, cross-cultural elderly monitoring
- Academic publication on CURA in HCI/AI ethics journals
“Use tech to reach the forgotten. Use code to amplify care. Use joy, always.” – Fr. ND