Climate Action Orchestrator is a sophisticated multi-agent AI system designed to help organizations track, analyze, and reduce their carbon footprint. By leveraging the power of Azure AI Agent Service and agentic AI frameworks, this solution provides actionable insights and recommendations to drive sustainable business practices.

• Comprehensive Emissions Tracking: Analyze operational data across your organization to calculate Scope 1, 2, and 3 emissions
• Intelligent Recommendations: Receive AI-generated suggestions for reducing carbon footprint with estimated impact and implementation costs
• Scenario Simulation: Model different sustainability strategies to predict their environmental and financial outcomes
• Regulatory Compliance: Generate reports that align with major sustainability frameworks (GHG Protocol, TCFD, CDP)
• Human-in-the-Loop Design: Collaborative approach where sustainability experts maintain oversight and decision authority

Our solution employs a multi-agent system with specialized components:

1. Data Collection Agent: Integrates with existing business systems to gather operational data
2. Carbon Calculation Agent: Applies emissions factors and methodologies to quantify carbon footprint
3. Recommendation Agent: Analyzes patterns and opportunities for emissions reduction
4. Simulation Agent: Projects outcomes of different sustainability initiatives
5. Reporting Agent: Generates standardized documentation for stakeholders

• Reduce carbon emissions by identifying inefficiencies and opportunities
• Lower operational costs through optimized resource usage
• Improve ESG ratings with better sustainability performance
• Ensure compliance with evolving environmental regulations
• Drive climate-positive business transformation

• Language: Python
• AI Framework: Azure AI Agent Service
• Data Storage: Azure Cosmos DB
• Visualization: Power BI integration
• Authentication: Azure Active Directory
• Containerization: Docker for easy deployment

See our Installation Guide and Quick Start Tutorial to begin using the Climate Action Orchestrator.

The easiest way to get started is using Docker:

1. Clone the repository:

   git clone https://github.com/your-organization/ClimateActionOrchestrator.git
   cd ClimateActionOrchestrator

2. Create and configure environment variables:

   cp .env.sample .env
   # Edit .env with your configuration

3. Build and run with Docker Compose:

   # On Linux/macOS
   ./docker-run.sh up
   
   # On Windows
   docker-run.bat up

4. Verify the installation:

   # On Linux/macOS
   ./docker-run.sh verify
   
   # On Windows
   docker-run.bat verify

5. View the logs:

   # On Linux/macOS
   ./docker-run.sh logs
   
   # On Windows
   docker-run.bat logs

For more information on Docker deployment, see our Docker Deployment Guide.

We implement Microsoft's Responsible AI principles throughout our solution:

• Transparency: Clear documentation of data sources and calculation methodologies
• Fairness: Equitable recommendations across different types of operations
• Reliability: Rigorous testing and validation of emissions calculations
• Privacy: Secure handling of sensitive business data
• Inclusiveness: Accessible interface design for users with different expertise levels
• Accountability: Human oversight and approval for significant decisions

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

We thank Microsoft for organizing the AI Agents Hackathon and providing the powerful tools and frameworks that made this project possible.