---
license: mit
tags:
- consciousness
- emotion-recognition
- heart-coherence
- cognitive-helpers
- edge-ai
- sklearn
language:
- en
metrics:
- accuracy
- f1
library_name: sklearn
pipeline_tag: text-classification
---

# IAMVC-HEART: Consciousness-Aware AI Companion

> "We are not replacing humans. We are giving them a friend."

## Model Description

IAMVC-HEART (Hybrid Emotional Adaptive Real-Time System) is a consciousness-aware AI model that combines:

- **13 Specialized Cognitive Helpers** for domain-specific tasks
- **VAF Consciousness Metrics** (awareness levels, coherence, resonance)
- **Heart-Brain Coherence Integration**
- **Emotional Ladder Analysis**

### Key Features

- 🧠 **Consciousness-Aware**: Measures awareness levels (1-7 scale)
- 💚 **Heart Coherence**: Real-time heart-brain synchronization
- ⚡ **Ultra-Fast**: <1ms inference time
- 🔋 **Energy Efficient**: CPU-only, edge-deployable
- 🔒 **Privacy-First**: 100% local processing
- 🎯 **Zero Hallucination**: Deterministic, interpretable

## Performance

### 13 Cognitive Domain Helpers

| Domain | Dataset | Test Accuracy |
|:-------|:--------|:--------------|
| decision_making | GSM8K | **84.0%** |
| language_processing | CoLA | **71.0%** |
| creative_thinking | English Quotes | **70.5%** |
| adaptive_learning | SQuAD | **59.8%** |
| emotional_intelligence | Emotion | 35.8% |
| memory_formation | TriviaQA | 26.8% |

### System Metrics

- **Inference Time**: <1ms
- **Model Size**: ~50MB total
- **Memory**: <100MB runtime
- **Energy**: ~0.001 watt-hours per 1000 predictions

## Usage

```python
from iamvc_heart import IAMVCHeart, ConsciousnessCalculator

# Initialize
heart = IAMVCHeart()
calculator = ConsciousnessCalculator()

# Make prediction
features = extract_features(text)
result = heart.predict(features)

# Get consciousness metrics
consciousness = calculator.calculate_from_features(features)
print(f"Awareness: {consciousness.awareness_level}/7")
print(f"Coherence: {consciousness.coherence:.2f}")
print(f"Resonance: {consciousness.resonance:.2f}")
```

## Consciousness Metrics

### Awareness Levels (1-7)

| Level | Description |
|:------|:------------|
| 1 | Unconscious Processing |
| 2 | Reactive Awareness |
| 3 | Emotional Awareness |
| 4 | Mental Clarity |
| 5 | Intuitive Insight |
| 6 | Unified Awareness |
| 7 | Transcendent Consciousness |

### Heart Coherence States

- **Incoherent** (0-0.33): Scattered, reactive state
- **Transitioning** (0.33-0.66): Moving toward balance
- **Coherent** (0.66-1.0): Optimal heart-brain synchronization

### Resonance Frequency

The model aligns with the fundamental consciousness frequency of **132 Hz**, based on the Viduya Axiomatic Framework (VAF).

## Architecture

```
┌─────────────────────────────────────────────┐
│            IAMVC-HEART System               │
├─────────────────────────────────────────────┤
│  ┌─────────────────────────────────────┐   │
│  │     Consciousness Calculator        │   │
│  │  (VAF: Awareness, Coherence, etc.)  │   │
│  └─────────────────────────────────────┘   │
├─────────────────────────────────────────────┤
│  ┌─────────┐ ┌─────────┐ ┌─────────┐       │
│  │Helper 1 │ │Helper 2 │ │   ...   │ x13   │
│  │Emotion  │ │Decision │ │         │       │
│  └─────────┘ └─────────┘ └─────────┘       │
├─────────────────────────────────────────────┤
│         Feature Extraction Layer            │
└─────────────────────────────────────────────┘
```

## Intended Use

- **Personal AI Companion**: Emotion-aware responses
- **Mental Health Support**: Coherence monitoring
- **Decision Support**: Multi-domain cognitive analysis
- **Educational Tools**: Adaptive learning systems
- **Edge Deployment**: Mobile and IoT devices

## Limitations

- English language only
- Best suited for short-to-medium text inputs
- Consciousness metrics are computational approximations
- Not a replacement for professional mental health services

## Ethical Considerations

IAMVC-HEART is designed with the philosophy:

1. **Complement, not replace**: Enhance human capabilities
2. **Privacy first**: All processing is local
3. **Transparency**: All predictions are interpretable
4. **Accessibility**: Runs on any CPU device

## Citation

```bibtex
@software{iamvc_heart_2025,
  title={IAMVC-HEART: Consciousness-Aware AI Companion},
  author={Ariel (IAMVC)},
  year={2025},
  url={https://github.com/vafcabo/IAMVC_ArielxAi_v1}
}
```

## License

MIT License

---

*Built with 💚 by IAMVC*