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Development of a Global CO₂ Emissions Prediction Platform with Interactive Visualization

eleks.com

Information technology

Environmental Services

Energy & natural resources

Challenges in Tracking and Predicting Global CO₂ Emissions

Organizations require an accurate, interactive tool to predict future global CO₂ emissions and analyze historical trends across regions and fuel types. Current methods lack precision, scalability, and user-friendly visualization for decision-making aligned with sustainability goals.

About the Client

A technology consulting and software development company committed to sustainability initiatives and innovation in climate-positive solutions.

Key Goals for the CO₂ Emissions Prediction Platform

Develop a machine learning model to forecast annual global CO₂ emissions by region and fuel type
Create an interactive heatmap visualization for real-time exploration of historical and predicted emissions
Ensure data accuracy through dimensionality reduction and collinearity handling
Support alignment with UN Sustainable Development Goals (Goals 9 and 13)

Core System Capabilities

Machine learning-powered emission prediction engine for total CO₂ and fuel-specific emissions
Interactive heatmap with year-slider for 20-year historical analysis
Region-specific emission trend analysis by fuel type
Data validation and refinement workflows for accuracy
Exportable visualizations and downloadable datasets

Technology Stack

Streamlit (for visualization)

Python (scikit-learn, TensorFlow)

World DataBank API integration

Dimensionality reduction techniques (PCA, spectral analysis)

Gradient boosting and random forest regressors

External System Integrations

Global CO₂ emissions datasets (World DataBank)
Cloud-based model training infrastructure (AWS/GCP)
User authentication for enterprise access

Non-Functional Requirements

High scalability for handling large spatiotemporal datasets
Real-time visualization rendering performance
Data security compliance (GDPR, ISO 27001)
Model robustness validation through multi-run holdout testing
Cross-platform compatibility for web and mobile access

Expected Business and Environmental Impact

Enables organizations to proactively plan sustainability initiatives through accurate emission forecasts, supports climate policy development with 20-year trend analysis, and enhances corporate ESG reporting capabilities while maintaining alignment with global sustainability frameworks.