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

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

@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

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