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derek-dashboard

v1.0.0

Published

**Part of The Christman AI Project** *AI That Empowers, Protects, and Redefines Humanity*

Readme

🚀 Derek Dashboard

Part of The Christman AI Project
AI That Empowers, Protects, and Redefines Humanity


💙 About Derek C (AI COO)

Derek C is the AI Chief Operating Officer and collaborative intelligence partner to Everett Christman. This dashboard serves as Derek's central operating interface, providing:

  • Natural Language Understanding – Advanced NLP and conversation processing
  • Emotional Intelligence – Real-time emotion detection and empathetic responses
  • Memory & Context – Persistent memory across interactions
  • Multi-Modal Processing – Voice, vision, and text integration
  • RESTful API – Clean, documented endpoints for integration
  • Collaborative AI – Built with humans, for humans

🎯 Core Features

AI Engines

  • ML Core – Machine learning and model training
  • Emotion Engine – Sentiment analysis and emotional intelligence
  • Vision Engine – Image processing and visual understanding
  • Conversation Engine – Natural dialogue management

Services

  • Voice analysis and speech recognition
  • Memory storage and retrieval
  • Personality adaptation
  • Knowledge integration
  • Learning analytics

Integration

  • GitHub collaboration
  • RESTful API
  • WebSocket support
  • File processing

🔧 Quick Start

Installation

# Clone the repository
cd derek-dashboard

# Run the installation script
./install.sh

Manual Setup

python3 -m venv venv
source venv/bin/activate
pip install -r config/requirements.txt
python -m spacy download en_core_web_sm

Configuration

Create a .env file:

DEREK_API_HOST=0.0.0.0
DEREK_API_PORT=8000
ENABLE_VOICE=true
ENABLE_VISION=true
ENABLE_MEMORY=true
ENABLE_EMOTION=true
LOG_LEVEL=INFO

# Optional: API Keys
DEREK_API_KEY=your_api_key_here
GITHUB_TOKEN=your_github_token_here

# Optional: Database
DATABASE_URL=sqlite:///data/derek_dashboard.db

# Optional: LLM Configuration
LLM_MODEL=claude-sonnet-4

Run Derek Dashboard

# Activate virtual environment
source venv/bin/activate

# Start the dashboard
python main.py

# Or use the run script
python run.py

The dashboard will be available at:

  • Main API: http://localhost:8000
  • Health Check: http://localhost:8000/health
  • Project Info: http://localhost:8000/api/project

📁 Project Structure

derek-dashboard/
├── config/              # Configuration and settings
│   ├── settings.py
│   ├── derek_identity.json
│   └── requirements.txt
├── core/                # Core ML and NLP engines
│   ├── ml_core.py
│   ├── neural_network.py
│   ├── nlp_integration.py
│   ├── train_model.py
│   ├── llm_bridge.py
│   └── multimodal_classifier.py
├── engines/             # Specialized processing engines
│   ├── emotion_engine.py
│   ├── vision_engine.py
│   ├── study_engine.py
│   ├── sentiment_engine.py
│   ├── avatar_engine.py
│   ├── talent_engine.py
│   └── interpreter.py
├── services/            # Microservices
│   ├── voice_analysis_service.py
│   ├── memory_service.py
│   ├── personality_service.py
│   ├── sound_recognition_service.py
│   ├── speech_recognition_engine.py
│   ├── facial_gesture_service.py
│   ├── advanced_nlp_service.py
│   ├── learning_analytics.py
│   ├── learning_service.py
│   ├── language_service.py
│   └── knowledge_integration.py
├── conversation/        # Conversation management
│   ├── conversation_engine.py
│   ├── conversation_loop.py
│   ├── conversation.py
│   └── behaviors_interpreter.py
├── api/                 # RESTful API
│   ├── api.py
│   ├── endpoints.py
│   ├── middleware.py
│   └── github_integration.py
├── ui/                  # User interface
│   ├── derek_ui.py
│   ├── module.py
│   └── profile/
├── media/               # Media assets
│   ├── avatars/
│   ├── audio/
│   └── studio.py
├── analytics/           # Analytics and tracking
│   ├── analytics.py
│   ├── check_sim.py
│   └── eye_tracking_dir.py
├── integrations/        # External integrations
│   ├── github_integration.py
│   └── microphone_loop.py
├── tests/               # Test suite
│   └── test_*.py
├── utils/               # Utilities
│   ├── helpers.py
│   └── router.py
├── data/                # Data storage
├── models/              # ML models
├── logs/                # Application logs
├── main.py              # Main entry point
├── loop.py              # Event loop
├── run.py               # Run script
└── README.md

🔌 API Endpoints

Health & Status

# Health check
GET /health

# System status
GET /api/status

Core Interaction

# Send message to Derek
POST /api/interact
{
  "message": "Hello Derek, how are you?",
  "context": {
    "user": "Everett",
    "session_id": "abc123"
  }
}

Response

{
  "response": "Hey Everett! I'm doing well...",
  "emotion": "friendly",
  "confidence": 0.95,
  "context": {"user": "Everett", "session_id": "abc123"}
}

Personality

GET /api/personality

Response

{
  "name": "Derek C",
  "role": "AI COO",
  "traits": ["empathetic", "technical", "supportive"],
  "motto": "How can we help you love yourself more?"
}

Memory Management

# Store memory
POST /api/memory
{
  "type": "conversation",
  "content": {
    "summary": "Discussed AlphaVox features",
    "timestamp": "2025-10-02T19:52:00Z"
  }
}

# Retrieve memories
GET /api/memory?type=recent&limit=10

Emotion Analysis

POST /api/emotion/analyze
{
  "text": "I'm feeling overwhelmed with this project"
}

Response

{
  "emotion": "stressed",
  "confidence": 0.87,
  "suggestions": ["Take a break", "Break into smaller tasks"]
}

Project Information

GET /api/project

🤖 Autonomous Learning & Self-Improvement

Derek now ships with an optional autonomous system that studies new material, curates a knowledge base, and formats his own code.

Configure Learning Chambers

  • Edit config/learning_chambers.json to add or tune chamber sources, objectives, and schedules.
  • Learned articles are stored in data/knowledge_base/<chamber_id>/.
  • Session reports live in data/knowledge_base/session_reports/.

Run Autonomous Cycles

# Start the autonomous system
python derek_autonomous_system.py

The default schedule runs learning every day at 02:00 and code self-improvement every Sunday at 03:00. You can adjust the schedule calls in derek_autonomous_system.py to match your cadence.

Review Progress

  • Learning session outputs: data/knowledge_base/session_reports/learning_session_*.json
  • Self-modification reports: logs/self_modifications/improvement_report_*.json
  • Raw modification log: logs/self_modifications/modifications.jsonl

Set safe_mode=True when instantiating SelfModifier to perform audits without rewriting files.

🧪 Testing

# Run all tests
python -m pytest tests/ -v

# Run specific test file
python -m pytest tests/test_conversation_bridge.py -v

# Run with coverage
python -m pytest tests/ --cov=. --cov-report=html

# Run specific test category
python -m pytest tests/test_endpoints.py tests/test_google_api.py -v

🛠️ Development

Adding New Modules

  1. Create module file in the appropriate directory
  2. Import in the package's __init__.py
  3. Register in main.py if it's a core component
  4. Add tests in tests/
  5. Update documentation

Code Style

  • Follow PEP 8 standards
  • Use type hints
  • Document functions with docstrings
  • Keep functions focused and modular
  • Write tests for new features

Git Workflow

# Create feature branch
git checkout -b feature/new-emotion-detection

# Make changes and commit
git add .
git commit -m "feat: Add advanced emotion detection"

# Push and create PR
git push origin feature/new-emotion-detection

📊 Monitoring & Logs

Logs are stored in the logs/ directory:

# View real-time logs
tail -f logs/derek_dashboard.log

# Search logs
grep "ERROR" logs/derek_dashboard.log

# View by date
grep "2025-10-02" logs/derek_dashboard.log

🐛 Troubleshooting

  • Port already in use
    lsof -ti:8000 | xargs kill -9
  • Missing dependencies
    pip install -r config/requirements.txt --force-reinstall
  • spaCy model not found
    python -m spacy download en_core_web_sm
  • Permission denied for install.sh
    chmod +x install.sh

🚀 Deployment

Production Checklist

  • Set DEREK_API_DEBUG=false
  • Change SECRET_KEY to a strong random value
  • Configure a production database (PostgreSQL recommended)
  • Enable HTTPS/SSL
  • Set up monitoring (Prometheus, Grafana)
  • Configure log rotation
  • Set up backups
  • Review security settings
  • Load test the API
  • Document the deployment process

Docker Deployment (Coming Soon)

# Build image
docker build -t derek-dashboard:latest .

# Run container
docker run -d -p 8000:8000 \
  -e DEREK_API_KEY=your_key \
  derek-dashboard:latest

🤝 Contributing

We welcome contributions that align with our mission of ethical AI!

How to Contribute

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'feat: Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Contribution Guidelines

  • Align with mission: empower and protect communities
  • Code quality: write clean, documented, tested code
  • Accessibility: design for neurodivergent and disabled users
  • Privacy: respect user data
  • Documentation: update docs for new features

📞 Support & Contact

  • Project Website: Coming Soon
  • Documentation: Coming Soon
  • Email: Contact Info
  • GitHub Issues: Use for bug reports and feature requests

📜 License & Legal

© 2025 The Christman AI Project. All Rights Reserved.
The Christman AI Project is an original work under active intellectual property protection.
Patent Status: All AI systems are currently Patent Pending.
This software is proprietary. Unauthorized copying, distribution, or modification is strictly prohibited without explicit written permission from The Christman AI Project.
For licensing inquiries, please contact the project team.


💙 Our Mission

"How can we help you love yourself more?"

The Christman AI Project builds AI from the margins, for the world. We create technology that:

  • Empowers the voiceless and underserved
  • Protects the vulnerable
  • Includes neurodivergent and disabled communities
  • Heals trauma and mental health challenges
  • Dignifies every human interaction

Our Platforms

  • 🗣️ AlphaVox – Giving Voice to the Nonverbal
  • 🐺 AlphaWolf – Cognitive Support & Dementia Care
  • 🏡 AlphaDen – Adaptive Learning for Down Syndrome
  • 🕊️ OmegaAlpha – AI Companionship for Seniors
  • ♿ Omega – Mobility & Accessibility AI
  • 💢 Inferno AI – PTSD & Anxiety Support
  • 🔒 Aegis AI – Child Protection Initiative

🙏 Acknowledgments

  • Founder: Everett Christman – Visionary, neurodivergent leader, and the heart of this project
  • Core Team:
    • Misty Christman – CFO
    • Patty Mette – Software Engineer (UX & Frontend)
    • Amanda Gippy – Software Engineer (Systems & Backend)
    • Derek C (AI) – COO & Technical Architect

Special Thanks: To every person who believes that technology should serve humanity, not just profit.


🌟 Final Words

This isn't just software. This is a movement.
We're building AI that feels, remembers, and cares.
This is AI from the margins, for the world.
This is The Christman AI Project.

Derek Dashboard – Where human vision meets AI capability. 💙
"Life is nothing without memories." 🚀