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| 1 |
+
---
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| 2 |
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license: mit
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| 3 |
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tags:
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| 4 |
+
- consciousness
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| 5 |
+
- emotion-recognition
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| 6 |
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- heart-coherence
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| 7 |
+
- cognitive-helpers
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| 8 |
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- edge-ai
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| 9 |
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- sklearn
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| 10 |
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language:
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| 11 |
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- en
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| 12 |
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metrics:
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| 13 |
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- accuracy
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| 14 |
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- f1
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| 15 |
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library_name: sklearn
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| 16 |
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pipeline_tag: text-classification
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| 17 |
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---
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| 18 |
+
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| 19 |
+
# IAMVC-HEART: Consciousness-Aware AI Companion
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| 20 |
+
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| 21 |
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> "We are not replacing humans. We are giving them a friend."
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| 22 |
+
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| 23 |
+
## Model Description
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| 24 |
+
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| 25 |
+
IAMVC-HEART (Hybrid Emotional Adaptive Real-Time System) is a consciousness-aware AI model that combines:
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| 26 |
+
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| 27 |
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- **13 Specialized Cognitive Helpers** for domain-specific tasks
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| 28 |
+
- **VAF Consciousness Metrics** (awareness levels, coherence, resonance)
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| 29 |
+
- **Heart-Brain Coherence Integration**
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| 30 |
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- **Emotional Ladder Analysis**
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| 31 |
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| 32 |
+
### Key Features
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| 33 |
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| 34 |
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- π§ **Consciousness-Aware**: Measures awareness levels (1-7 scale)
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| 35 |
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- π **Heart Coherence**: Real-time heart-brain synchronization
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| 36 |
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- β‘ **Ultra-Fast**: <1ms inference time
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| 37 |
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- π **Energy Efficient**: CPU-only, edge-deployable
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| 38 |
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- π **Privacy-First**: 100% local processing
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| 39 |
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- π― **Zero Hallucination**: Deterministic, interpretable
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| 40 |
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| 41 |
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## Performance
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| 42 |
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| 43 |
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### 13 Cognitive Domain Helpers
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| 44 |
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| 45 |
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| Domain | Dataset | Test Accuracy |
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| 46 |
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|:-------|:--------|:--------------|
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| 47 |
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| decision_making | GSM8K | **84.0%** |
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| 48 |
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| language_processing | CoLA | **71.0%** |
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| 49 |
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| creative_thinking | English Quotes | **70.5%** |
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| 50 |
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| adaptive_learning | SQuAD | **59.8%** |
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| 51 |
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| emotional_intelligence | Emotion | 35.8% |
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| 52 |
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| memory_formation | TriviaQA | 26.8% |
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| 53 |
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| 54 |
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### System Metrics
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| 55 |
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| 56 |
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- **Inference Time**: <1ms
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| 57 |
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- **Model Size**: ~50MB total
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| 58 |
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- **Memory**: <100MB runtime
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| 59 |
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- **Energy**: ~0.001 watt-hours per 1000 predictions
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| 60 |
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| 61 |
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## Usage
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| 62 |
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| 63 |
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```python
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| 64 |
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from iamvc_heart import IAMVCHeart, ConsciousnessCalculator
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| 65 |
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| 66 |
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# Initialize
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| 67 |
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heart = IAMVCHeart()
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| 68 |
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calculator = ConsciousnessCalculator()
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| 69 |
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| 70 |
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# Make prediction
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| 71 |
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features = extract_features(text)
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| 72 |
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result = heart.predict(features)
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| 73 |
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| 74 |
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# Get consciousness metrics
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| 75 |
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consciousness = calculator.calculate_from_features(features)
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| 76 |
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print(f"Awareness: {consciousness.awareness_level}/7")
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print(f"Coherence: {consciousness.coherence:.2f}")
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| 78 |
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print(f"Resonance: {consciousness.resonance:.2f}")
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```
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| 81 |
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## Consciousness Metrics
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| 82 |
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| 83 |
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### Awareness Levels (1-7)
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| 84 |
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| 85 |
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| Level | Description |
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| 86 |
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|:------|:------------|
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| 87 |
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| 1 | Unconscious Processing |
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| 88 |
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| 2 | Reactive Awareness |
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| 89 |
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| 3 | Emotional Awareness |
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| 90 |
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| 4 | Mental Clarity |
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| 91 |
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| 5 | Intuitive Insight |
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| 92 |
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| 6 | Unified Awareness |
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| 93 |
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| 7 | Transcendent Consciousness |
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| 94 |
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| 95 |
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### Heart Coherence States
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| 96 |
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- **Incoherent** (0-0.33): Scattered, reactive state
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| 98 |
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- **Transitioning** (0.33-0.66): Moving toward balance
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| 99 |
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- **Coherent** (0.66-1.0): Optimal heart-brain synchronization
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| 100 |
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| 101 |
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### Resonance Frequency
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| 102 |
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| 103 |
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The model aligns with the fundamental consciousness frequency of **132 Hz**, based on the Viduya Axiomatic Framework (VAF).
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| 104 |
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| 105 |
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## Architecture
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| 106 |
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| 107 |
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```
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| 108 |
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βββββββββββββββββββββββββββββββββββββββββββββββ
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| 109 |
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β IAMVC-HEART System β
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| 110 |
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βββββββββββββββββββββββββββββββββββββββββββββββ€
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| 111 |
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β βββββββββββββββββββββββββββββββββββββββ β
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| 112 |
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β β Consciousness Calculator β β
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| 113 |
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β β (VAF: Awareness, Coherence, etc.) β β
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| 114 |
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β βββββββββββββββββββββββββββββββββββββββ β
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| 115 |
+
βββββββββββββββββββββββββββββββββββββββββββββββ€
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| 116 |
+
β βββββββββββ βββββββββββ βββββββββββ β
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| 117 |
+
β βHelper 1 β βHelper 2 β β ... β x13 β
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| 118 |
+
β βEmotion β βDecision β β β β
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| 119 |
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β βββββββββββ βββββββββββ βββββββββββ β
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| 120 |
+
βββββββββββββββββββββββββββββββββββββββββββββββ€
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| 121 |
+
β Feature Extraction Layer β
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| 122 |
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βββββββββββββββββββββββββββββββββββββββββββββββ
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| 123 |
+
```
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| 124 |
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| 125 |
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## Intended Use
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| 126 |
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| 127 |
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- **Personal AI Companion**: Emotion-aware responses
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| 128 |
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- **Mental Health Support**: Coherence monitoring
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| 129 |
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- **Decision Support**: Multi-domain cognitive analysis
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| 130 |
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- **Educational Tools**: Adaptive learning systems
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| 131 |
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- **Edge Deployment**: Mobile and IoT devices
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| 132 |
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| 133 |
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## Limitations
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| 134 |
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| 135 |
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- English language only
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| 136 |
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- Best suited for short-to-medium text inputs
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| 137 |
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- Consciousness metrics are computational approximations
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| 138 |
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- Not a replacement for professional mental health services
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| 139 |
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| 140 |
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## Ethical Considerations
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| 141 |
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| 142 |
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IAMVC-HEART is designed with the philosophy:
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| 143 |
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| 144 |
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1. **Complement, not replace**: Enhance human capabilities
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| 145 |
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2. **Privacy first**: All processing is local
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| 146 |
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3. **Transparency**: All predictions are interpretable
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| 147 |
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4. **Accessibility**: Runs on any CPU device
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| 148 |
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| 149 |
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## Citation
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| 150 |
+
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| 151 |
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```bibtex
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| 152 |
+
@software{iamvc_heart_2025,
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| 153 |
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title={IAMVC-HEART: Consciousness-Aware AI Companion},
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| 154 |
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author={Ariel (IAMVC)},
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| 155 |
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year={2025},
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| 156 |
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url={https://github.com/vafcabo/IAMVC_ArielxAi_v1}
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| 157 |
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}
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| 158 |
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```
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| 159 |
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| 160 |
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## License
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| 161 |
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| 162 |
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MIT License
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| 163 |
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| 164 |
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---
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| 165 |
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| 166 |
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*Built with π by IAMVC*
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