Update README.md

README.md

@@ -1,91 +1,91 @@
----
-title: Sundew Diabetes Watch - ADVANCED
-sdk: docker
-colorFrom: green
-colorTo: blue
-pinned: true
-emoji: 🌿
-license: mit
----
-# 🌿 Sundew Diabetes Watch — ADVANCED EDITION
-
-**Mission:** Low-cost, energy-aware diabetes risk monitoring for everyone — especially communities across Africa.
-
-This app showcases the **full power of Sundew's bio-inspired adaptive algorithms** with:
-- ✨ **PipelineRuntime** with custom DiabetesSignificanceModel
-- 📊 **Real-time energy tracking** with bio-inspired regeneration
-- 🎯 **PI control threshold adaptation** with live visualization
-- 📈 **Bootstrap confidence intervals** for statistical validation
-- 🔬 **6-factor diabetes risk** computation (glycemic deviation, velocity, IOB, COB, activity, variability)
-- 🤖 **Ensemble model** (LogReg + RandomForest + GBM)
-- 💾 **Telemetry export** for hardware validation workflows
-- 🌍 **89.8% energy savings** vs always-on inference (validated on real CGM data)
-
-## ✅ Proven Results
-
-Tested on 216 continuous glucose monitoring events (18 hours):
-- **Activation Rate**: 10.2% (22/216 events) — intelligently selective
-- **Energy Savings**: 89.8% — critical for battery-powered wearables
-- **Risk Detection**: Correctly identifies hypoglycemia (<70 mg/dL) and hyperglycemia (>180 mg/dL)
-- **Adaptive Thresholds**: PI controller dynamically adjusts from 0.1 to 0.95 based on glucose patterns
-
-## 🚀 Quick Start
-
-1. **Try the demo**: Visit [Sundew Diabetes Watch](https://huggingface.co/spaces/mgbam/sundew_diabetes_watch)
-2. **Upload sample data**: Download [sample_diabetes_data.csv](https://huggingface.co/spaces/mgbam/sundew_diabetes_watch/blob/main/sample_diabetes_data.csv) (or use the synthetic example)
-3. **Watch it work**: See real-time significance scoring, threshold adaptation, and energy tracking
-4. **Experiment**: Adjust Energy Pressure, Gate Temperature, and preset configurations
-
-## How It Works
-
-1. **Upload CGM Data**: CSV with `timestamp, glucose_mgdl, carbs_g, insulin_units, steps, hr`
-2. **Custom Significance Model**: Computes multi-factor diabetes risk score
-3. **Sundew Gating**: Adaptively decides when to run heavy ensemble model
-4. **PI Control**: Threshold auto-adjusts to maintain target activation rate
-5. **Energy Management**: Bio-inspired regeneration + realistic consumption costs
-6. **Statistical Validation**: Bootstrap 95% CI for F1, Precision, Recall
-7. **Telemetry Export**: JSON download for hardware power measurement correlation
-
-## Live Visualizations
-
-- **Glucose Levels**: Real-time CGM data
-- **Significance vs Threshold**: Watch the PI controller adapt!
-- **Energy Level**: Bio-inspired regeneration visualization
-- **6-Factor Risk Components**: Interpretable diabetes scoring breakdown
-- **Performance Dashboard**: F1, Precision, Recall with confidence intervals
-- **Alerts**: High-risk event notifications
-
-## Configuration Presets
-
-- **custom_health_hd82**: Healthcare-optimized (82% energy savings, 0.196 recall)
-- **tuned_v2**: Balanced general-purpose baseline
-- **auto_tuned**: Dataset-adaptive configuration
-- **conservative**: Maximum energy savings (low activation)
-- **energy_saver**: Battery-optimized for edge devices
-
-> **Disclaimer:** Research prototype. Not medical advice. Not FDA/CE approved.
-
-## Developing Locally
-
-```bash
-python -m venv .venv && source .venv/bin/activate  # Windows: .venv\Scripts\activate
-pip install -r requirements.txt
-streamlit run app_advanced.py
-```
-
-## Technical Details
-
-- **Algorithm**: Sundew bio-inspired adaptive gating
-- **Model**: Ensemble (LogReg + RandomForest + GBM)
-- **Risk Factors**: 6-component diabetes-specific significance model
-- **Control**: PI threshold adaptation with energy pressure feedback
-- **Energy Model**: Random regeneration (1.0–3.0 per tick) + realistic costs
-- **Validation**: Bootstrap resampling (1000 iterations) for 95% CI
-
-## References
-
-- [Sundew Algorithms](https://github.com/anthropics/sundew-algorithms)
-- [Documentation](https://huggingface.co/spaces/mgbam/sundew_diabetes_watch/blob/main/CLAUDE.md)
-- [Paper](https://arxiv.org/abs/your-paper-here) (coming soon)
-
+---
+title: Sundew Diabetes Commons
+sdk: docker
+colorFrom: green
+colorTo: blue
+pinned: true
+emoji: 🌿
+license: mit
+---
+# 🌿 Sundew Diabetes Watch — ADVANCED EDITION
+
+**Mission:** Low-cost, energy-aware diabetes risk monitoring for everyone — especially communities across Africa.
+
+This app showcases the **full power of Sundew's bio-inspired adaptive algorithms** with:
+- ✨ **PipelineRuntime** with custom DiabetesSignificanceModel
+- 📊 **Real-time energy tracking** with bio-inspired regeneration
+- 🎯 **PI control threshold adaptation** with live visualization
+- 📈 **Bootstrap confidence intervals** for statistical validation
+- 🔬 **6-factor diabetes risk** computation (glycemic deviation, velocity, IOB, COB, activity, variability)
+- 🤖 **Ensemble model** (LogReg + RandomForest + GBM)
+- 💾 **Telemetry export** for hardware validation workflows
+- 🌍 **89.8% energy savings** vs always-on inference (validated on real CGM data)
+
+## ✅ Proven Results
+
+Tested on 216 continuous glucose monitoring events (18 hours):
+- **Activation Rate**: 10.2% (22/216 events) — intelligently selective
+- **Energy Savings**: 89.8% — critical for battery-powered wearables
+- **Risk Detection**: Correctly identifies hypoglycemia (<70 mg/dL) and hyperglycemia (>180 mg/dL)
+- **Adaptive Thresholds**: PI controller dynamically adjusts from 0.1 to 0.95 based on glucose patterns
+
+## 🚀 Quick Start
+
+1. **Try the demo**: Visit [Sundew Diabetes Watch](https://huggingface.co/spaces/mgbam/sundew_diabetes_watch)
+2. **Upload sample data**: Download [sample_diabetes_data.csv](https://huggingface.co/spaces/mgbam/sundew_diabetes_watch/blob/main/sample_diabetes_data.csv) (or use the synthetic example)
+3. **Watch it work**: See real-time significance scoring, threshold adaptation, and energy tracking
+4. **Experiment**: Adjust Energy Pressure, Gate Temperature, and preset configurations
+
+## How It Works
+
+1. **Upload CGM Data**: CSV with `timestamp, glucose_mgdl, carbs_g, insulin_units, steps, hr`
+2. **Custom Significance Model**: Computes multi-factor diabetes risk score
+3. **Sundew Gating**: Adaptively decides when to run heavy ensemble model
+4. **PI Control**: Threshold auto-adjusts to maintain target activation rate
+5. **Energy Management**: Bio-inspired regeneration + realistic consumption costs
+6. **Statistical Validation**: Bootstrap 95% CI for F1, Precision, Recall
+7. **Telemetry Export**: JSON download for hardware power measurement correlation
+
+## Live Visualizations
+
+- **Glucose Levels**: Real-time CGM data
+- **Significance vs Threshold**: Watch the PI controller adapt!
+- **Energy Level**: Bio-inspired regeneration visualization
+- **6-Factor Risk Components**: Interpretable diabetes scoring breakdown
+- **Performance Dashboard**: F1, Precision, Recall with confidence intervals
+- **Alerts**: High-risk event notifications
+
+## Configuration Presets
+
+- **custom_health_hd82**: Healthcare-optimized (82% energy savings, 0.196 recall)
+- **tuned_v2**: Balanced general-purpose baseline
+- **auto_tuned**: Dataset-adaptive configuration
+- **conservative**: Maximum energy savings (low activation)
+- **energy_saver**: Battery-optimized for edge devices
+
+> **Disclaimer:** Research prototype. Not medical advice. Not FDA/CE approved.
+
+## Developing Locally
+
+```bash
+python -m venv .venv && source .venv/bin/activate  # Windows: .venv\Scripts\activate
+pip install -r requirements.txt
+streamlit run app_advanced.py
+```
+
+## Technical Details
+
+- **Algorithm**: Sundew bio-inspired adaptive gating
+- **Model**: Ensemble (LogReg + RandomForest + GBM)
+- **Risk Factors**: 6-component diabetes-specific significance model
+- **Control**: PI threshold adaptation with energy pressure feedback
+- **Energy Model**: Random regeneration (1.0–3.0 per tick) + realistic costs
+- **Validation**: Bootstrap resampling (1000 iterations) for 95% CI
+
+## References
+
+- [Sundew Algorithms](https://github.com/anthropics/sundew-algorithms)
+- [Documentation](https://huggingface.co/spaces/mgbam/sundew_diabetes_watch/blob/main/CLAUDE.md)
+- [Paper](https://arxiv.org/abs/your-paper-here) (coming soon)
+
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