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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*
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