ClimateIQ - Your AI Climate Action Partner

A comprehensive platform that combines IBM watsonx.ai, RAG (Retrieval-Augmented Generation), real-time climate APIs, and an intuitive Streamlit interface to provide personalized climate action recommendations and environmental impact tracking.

• IBM watsonx.ai Integration: Advanced AI models for climate action recommendations
• RAG System: Retrieval-Augmented Generation with climate knowledge base
• Personalized Responses: Tailored advice based on user profile and location
• Fallback Mode: Intelligent responses even when external services are unavailable

• Weather Data: OpenWeatherMap API integration
• Carbon Emissions: Carbon Interface API for footprint calculations
• NASA POWER: Solar and energy resource data
• Climate Trace: Global emissions tracking
• UN SDG & World Bank: Sustainability indicators

• Location-based recommendations
• Lifestyle-specific suggestions
• Budget-conscious solutions
• Impact estimation and tracking

• Personal carbon footprint monitoring
• Progress visualization with interactive charts
• Emission equivalents (trees, gasoline, coal)
• Community leaderboards

• Real-time weather conditions
• Air quality monitoring
• Local climate trends
• Environmental alerts

• Frontend: Streamlit with custom CSS styling
• AI/ML: IBM watsonx.ai, LangChain, ChromaDB
• APIs: Climate APIs (OpenWeather, Carbon Interface, NASA, etc.)
• Data Processing: Pandas, NumPy
• Visualization: Plotly, Matplotlib
• Environment: Python 3.8+, dotenv

• Python 3.8 or higher
• pip package manager
• Internet connection for API access

git clone https://github.com/Nordic116/Climate-Action-Intelligence-Platform.git
cd Climate-Action-Intelligence-Platform

pip install -r requirements.txt

python setup_data_dirs.py

python test_installation.py

Create a .env file in the root directory with your API keys:

# IBM watsonx.ai
IBM_CLOUD_API_KEY=your_ibm_cloud_api_key
WATSONX_PROJECT_ID=your_watsonx_project_id
IBM_CLOUD_URL=https://us-south.ml.cloud.ibm.com
WATSONX_API_KEY=your_watsonx_api_key

# Climate APIs
OPENWEATHER_API_KEY=your_openweather_api_key
CARBON_INTERFACE_API_KEY=your_carbon_interface_api_key
NASA_API_KEY=your_nasa_api_key

# API Base URLs (pre-configured)
CLIMATETRACE_API_BASE=https://api.climatetrace.org/v6
CARBON_INTERFACE_API_BASE=https://www.carboninterface.com/api/v1
NASA_API_BASE=https://power.larc.nasa.gov/api/temporal
OPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5
UN_SDG_API_BASE=https://unstats.un.org/SDGAPI/v1
WORLD_BANK_API_BASE=https://api.worldbank.org/v2

# Default settings
DEFAULT_OUTPUT_FORMAT=json

python run_app.py

The application will be available at:

• Local: http://localhost:12000
• Network: Available on your local network

1. Launch the app using python run_app.py
2. Set up your profile in the sidebar:
   • Enter your location
   • Select lifestyle type
   • Choose areas of interest
   • Set your budget range

• Click "Generate New Action Plan" for personalized recommendations
• View prioritized actions based on your profile
• See estimated impact and cost savings
• Access supporting information sources

• Monitor your carbon footprint over time
• View emission equivalents (trees planted, gasoline saved)
• Track progress with interactive charts
• Compare with community averages

• View real-time weather conditions
• Check air quality index
• See local climate trends
• Get environmental alerts

• Chat with the AI climate assistant
• Ask questions about sustainability
• Get personalized advice
• Use quick action buttons for common queries

• View community impact leaderboard
• See collective achievements
• Join challenges and initiatives
• Share your progress

The platform includes a comprehensive demo mode that activates when:

• API keys are not configured
• External services are unavailable
• Network connectivity issues occur

Demo mode provides:

• Sample climate data and visualizations
• Pre-built action plans
• Intelligent fallback responses
• Full interface functionality

Climate-Action-Intelligence-Platform/
├── backend/
│   ├── watsonx_integration/     # IBM watsonx.ai integration
│   ├── rag_system/             # RAG system with ChromaDB
│   ├── api_handlers/           # Climate API integrations
│   └── data_processors/        # Data processing utilities
├── frontend/
│   └── dashboard/              # Streamlit application
├── data/                       # Local data storage
├── config.py                   # Configuration settings
├── requirements.txt            # Python dependencies
├── run_app.py                 # Application launcher
└── .env                       # Environment variables

1. IBM watsonx.ai: Sign up at IBM Cloud
2. OpenWeatherMap: Get free API key at OpenWeatherMap
3. Carbon Interface: Register at Carbon Interface
4. NASA POWER: Request access at NASA POWER

• Climate Trace (public API)
• UN SDG API (public API)
• World Bank API (public API)

python run_app.py

The application is designed for local use but can be deployed to:

• Cloud platforms (AWS, GCP, Azure)
• Container environments (Docker)
• Streamlit Cloud
• Heroku or similar PaaS

1. Hyper-Personalized Climate Action Plans - Uses RAG to combine global climate data with local context
2. Real-Time Impact Measurement - Tracks and quantifies actual environmental impact
3. Community-Driven Solutions - Crowdsources and validates climate solutions
4. Economic Incentivization - Connects users with green financing and carbon offset opportunities
5. Scalable Implementation - Works for individuals, SMEs, and large organizations

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

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

Application won't start:

• Check Python version (3.8+ required)
• Verify all dependencies are installed: pip install -r requirements.txt
• Ensure port 12000 is available

API errors:

• Verify API keys in .env file
• Check internet connectivity
• Review API rate limits
• Use demo mode for testing without APIs

Performance issues:

• Clear browser cache
• Restart the application
• Check system resources

• Check the Issues page
• Review the troubleshooting section
• Contact the development team

• IBM watsonx.ai for advanced AI capabilities
• Climate data providers (OpenWeatherMap, NASA, etc.)
• Streamlit for the amazing web framework
• The open-source community for various libraries and tools

Built with ❤️ for a sustainable future 🌱

ClimateIQ - Empowering individuals to take meaningful climate action through AI-driven insights and personalized recommendations.