A clean, elegant carbon emission management system with separated frontend and backend. It visualizes carbon emission data and implements RAG-based intelligent Q&A using the system's internal data.

Prediksi emisi karbon di Purbalingga berbasis data geospasial dari OpenStreetMap. Menggunakan Random Forest dan XGBoost untuk analisis spasial dalam studi tugas besar mata kuliah Strategi Algoritma.

Carbo is your eco-friendly companion that helps you save money and reduce your carbon footprint.

ZeroSphere is an innovative platform enabling Indian mines to calculate, track, reduce, and offset their carbon footprint. Through carbon emission calculator, data-driven insights, and actionable suggestions, it empowers Indian mines to achieve carbon neutrality, adopt sustainable practices, and contribute to a greener future.

中国的碳减排与世界能源消费

Electric automobiles have grown in popularity over the last decade as more people appreciate the need to lower carbon emissions and battle climate change.

Energy & Carbon Emission Dashboard with Forecasting and Live API

Carbon Emission Calculator ( Designed and Developed by Team Airix )

Scanner and search engine for the carbon emission of food. IOS and Android app with api, built with React-Native and the expo API.

Machine Learning and Deep Learning framework for forecasting climate change indicators, carbon emissions, and environmental pollution using Random Forest, XGBoost, Bi-LSTM, and Hybrid Ensemble Models.

“A lifecycle carbon emissions comparison engine for EV/ICE/Hybrid vehicles using state-specific grid factors.”

https://thughari.github.io/carbon-scope/

CMGNN: Multi-modal Graph Neural Network for Shenyang urban carbon emission, temperature, and wind field 3D simulation

🌱 Modern Django web app for tracking daily carbon footprint with beautiful UI, real-time analytics, and personalized sustainability tips

🌿 Terra EMS Backend. Based on Spring Boot 3.4 & Java 21. Features energy monitoring, TOU pricing, cost analysis, carbon tracking, and enterprise RBAC. A robust framework for rapid Web development.