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Advanced AI Development Framework with orchestration tools, multi-environment support, and production-ready workflows

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Repository files navigation

AI Development Framework

GitHub Python License Tests

A comprehensive AI development and orchestration framework with multiple specialized environments and tools.

Repository: https://github.com/BoozeLee/ai-development-framework

Organization Logo

πŸš€ Features

  • Multi-Environment Setup: Separate environments for AI, neuromorphic computing, and research
  • AI Orchestration: Advanced AI orchestrator with crew management
  • Database Integration: DuckDB and AWS Athena clients
  • Deployment Ready: Docker and production deployment scripts
  • Development Tools: Cursor IDE integration and development utilities

πŸ“ Project Structure

ai-development/
β”œβ”€β”€ config/                 # Configuration files
β”œβ”€β”€ tools/                  # Utility tools and scripts
β”œβ”€β”€ environments/           # Virtual environments (gitignored)
β”œβ”€β”€ *.py                    # Python source files
β”œβ”€β”€ *.sh                    # Shell scripts
β”œβ”€β”€ *.md                    # Documentation
└── docker-compose.yml      # Docker configuration

πŸ› οΈ Quick Start

1. Activate Environments

# AI Main Environment
./activate-ai.sh

# Neuromorphic Computing Environment
./activate-neuro.sh

# Research Environment
./activate-research.sh

2. Run AI Orchestrator

python advanced_ai_orchestrator.py

3. Test Database Connections

python test_duckdb.py
python test_athena.py

πŸ”§ Installation

Prerequisites

  • Python 3.11+
  • Docker (for containerized deployment)
  • AWS CLI (for Athena integration)

Setup

# Install dependencies
./setup_complete.sh

# Configure API keys
python setup_api_keys.py

# Setup databases
./setup_databases.sh

🐳 Docker Deployment

# Build and run with Docker Compose
docker-compose up -d

# Or use the deployment script
./deploy_production.py

πŸ“Š Database Integration

DuckDB

  • Local analytics database
  • Fast columnar storage
  • SQL interface

AWS Athena

  • Serverless query service
  • S3 integration
  • Cost-effective analytics

πŸ”’ Security

  • API key management via setup_api_keys.py
  • Production-ready security configurations
  • Audit logging capabilities

πŸ“ˆ Monitoring

  • Production reports generation
  • Performance monitoring
  • Error tracking and logging

🀝 Contributing

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

πŸ“ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ†˜ Support

For support and questions:

  • Check the documentation in the *.md files
  • Review the usage guides
  • Examine the test files for examples

πŸ”„ Version History

  • v1.0.0: Initial release with AI orchestration framework
  • Multi-environment support
  • Database integration
  • Production deployment capabilities
  • Repository mirroring system

πŸ”— Repository Mirroring

This project is mirrored between two repositories:

Manual Mirroring

# Mirror to both repositories
./mirror_repos.sh both

# Mirror to personal only
./mirror_repos.sh personal

# Mirror to organization only
./mirror_repos.sh org

# Check status
./mirror_repos.sh status

Automatic Mirroring

GitHub Actions automatically sync changes between repositories when you push to either repository.

πŸ’° Monetization & Support

🎯 Professional Services

AI Consulting & Development Services:

  • Basic Consultation: $150/hour - Strategy and planning
  • Development Services: $200/hour - Custom AI solution development
  • Project Management: $250/hour - Full project lifecycle management
  • Enterprise Solutions: Custom pricing for large-scale implementations

πŸ’³ Payment Options

Stripe (Recommended):

PayPal:

Bank Transfer (Lowest Fees):

  • IBAN: BE70 9051 5229 1825
  • BIC/SWIFT: WIREDEMMXXX
  • Account Holder: Kiliaan V
  • Bank: Wise (formerly TransferWise)
  • Wise Tag: @kiliaanv

🀝 Collaboration Opportunities

  • Joint Ventures: Partnership opportunities for AI projects
  • Research Funding: Support for innovative AI research initiatives
  • Open Source Sponsorship: Backing for community-driven projects
  • Educational Programs: Sponsorship for AI education initiatives

πŸ“ž Contact


Ready to build the future of AI together? Let's collaborate! πŸš€