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+ ---
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+ license: mit
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+ tags:
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+ - consciousness
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+ - emotion-recognition
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+ - heart-coherence
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+ - cognitive-helpers
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+ - edge-ai
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+ - sklearn
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ - f1
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+ library_name: sklearn
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # IAMVC-HEART: Consciousness-Aware AI Companion
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+
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+ > "We are not replacing humans. We are giving them a friend."
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+
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+ ## Model Description
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+
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+ IAMVC-HEART (Hybrid Emotional Adaptive Real-Time System) is a consciousness-aware AI model that combines:
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+
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+ - **13 Specialized Cognitive Helpers** for domain-specific tasks
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+ - **VAF Consciousness Metrics** (awareness levels, coherence, resonance)
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+ - **Heart-Brain Coherence Integration**
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+ - **Emotional Ladder Analysis**
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+
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+ ### Key Features
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+
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+ - 🧠 **Consciousness-Aware**: Measures awareness levels (1-7 scale)
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+ - πŸ’š **Heart Coherence**: Real-time heart-brain synchronization
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+ - ⚑ **Ultra-Fast**: <1ms inference time
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+ - πŸ”‹ **Energy Efficient**: CPU-only, edge-deployable
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+ - πŸ”’ **Privacy-First**: 100% local processing
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+ - 🎯 **Zero Hallucination**: Deterministic, interpretable
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+
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+ ## Performance
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+
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+ ### 13 Cognitive Domain Helpers
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+
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+ | Domain | Dataset | Test Accuracy |
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+ |:-------|:--------|:--------------|
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+ | decision_making | GSM8K | **84.0%** |
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+ | language_processing | CoLA | **71.0%** |
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+ | creative_thinking | English Quotes | **70.5%** |
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+ | adaptive_learning | SQuAD | **59.8%** |
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+ | emotional_intelligence | Emotion | 35.8% |
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+ | memory_formation | TriviaQA | 26.8% |
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+
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+ ### System Metrics
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+
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+ - **Inference Time**: <1ms
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+ - **Model Size**: ~50MB total
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+ - **Memory**: <100MB runtime
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+ - **Energy**: ~0.001 watt-hours per 1000 predictions
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+
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+ ## Usage
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+
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+ ```python
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+ from iamvc_heart import IAMVCHeart, ConsciousnessCalculator
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+
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+ # Initialize
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+ heart = IAMVCHeart()
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+ calculator = ConsciousnessCalculator()
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+
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+ # Make prediction
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+ features = extract_features(text)
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+ result = heart.predict(features)
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+
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+ # Get consciousness metrics
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+ consciousness = calculator.calculate_from_features(features)
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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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+ print(f"Resonance: {consciousness.resonance:.2f}")
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+ ```
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+
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+ ## Consciousness Metrics
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+
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+ ### Awareness Levels (1-7)
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+
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+ | Level | Description |
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+ |:------|:------------|
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+ | 1 | Unconscious Processing |
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+ | 2 | Reactive Awareness |
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+ | 3 | Emotional Awareness |
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+ | 4 | Mental Clarity |
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+ | 5 | Intuitive Insight |
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+ | 6 | Unified Awareness |
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+ | 7 | Transcendent Consciousness |
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+
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+ ### Heart Coherence States
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+
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+ - **Incoherent** (0-0.33): Scattered, reactive state
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+ - **Transitioning** (0.33-0.66): Moving toward balance
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+ - **Coherent** (0.66-1.0): Optimal heart-brain synchronization
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+
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+ ### Resonance Frequency
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+
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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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+
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+ ## Architecture
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+
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+ ```
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+ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
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+ β”‚ IAMVC-HEART System β”‚
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+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
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+ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
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+ β”‚ β”‚ Consciousness Calculator β”‚ β”‚
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+ β”‚ β”‚ (VAF: Awareness, Coherence, etc.) β”‚ β”‚
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+ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
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+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
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+ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
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+ β”‚ β”‚Helper 1 β”‚ β”‚Helper 2 β”‚ β”‚ ... β”‚ x13 β”‚
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+ β”‚ β”‚Emotion β”‚ β”‚Decision β”‚ β”‚ β”‚ β”‚
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+ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
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+ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
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+ β”‚ Feature Extraction Layer β”‚
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+ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
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+ ```
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+
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+ ## Intended Use
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+
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+ - **Personal AI Companion**: Emotion-aware responses
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+ - **Mental Health Support**: Coherence monitoring
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+ - **Decision Support**: Multi-domain cognitive analysis
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+ - **Educational Tools**: Adaptive learning systems
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+ - **Edge Deployment**: Mobile and IoT devices
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+
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+ ## Limitations
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+
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+ - English language only
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+ - Best suited for short-to-medium text inputs
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+ - Consciousness metrics are computational approximations
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+ - Not a replacement for professional mental health services
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+
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+ ## Ethical Considerations
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+
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+ IAMVC-HEART is designed with the philosophy:
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+
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+ 1. **Complement, not replace**: Enhance human capabilities
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+ 2. **Privacy first**: All processing is local
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+ 3. **Transparency**: All predictions are interpretable
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+ 4. **Accessibility**: Runs on any CPU device
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @software{iamvc_heart_2025,
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+ title={IAMVC-HEART: Consciousness-Aware AI Companion},
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+ author={Ariel (IAMVC)},
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+ year={2025},
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+ url={https://github.com/vafcabo/IAMVC_ArielxAi_v1}
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+ }
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+ ```
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+
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+ ## License
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+
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+ MIT License
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+
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+ ---
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+
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+ *Built with πŸ’š by IAMVC*