VisionCO2: AI-Supported Corporate Carbon Management System
A web-based corporate carbon management platform covering Scope 1, 2 and 3 emissions under the GHG Protocol, with machine learning modules and an AI scenario engine.
- Type
- Web platform and ML system
- Period
- December 2024 - January 2026
- Role
- System developer
- Stack
- Python, React.js, Machine Learning
A corporate carbon management platform I designed and built as system developer at Altınbaş University under project code PB2024-UBF1. It aligns with the GHG Protocol and covers Scope 1, 2 and 3 emissions.
The calculation engine runs on official emission factors from the IPCC, the EPA, DEFRA and the Turkish Ministry of Environment. On top of it sit machine learning modules that detect emission-intensive clusters with clustering and regression algorithms, plus an AI scenario engine that produces conservative, aggressive and optimal reduction pathways.
A real-time dashboard and the Vico AI assistant deliver emission summaries and sustainability recommendations. The work was presented at the 6th International Thales Congress.
Highlights
- Designed and built a web-based carbon management platform aligned with the GHG Protocol, covering Scope 1, 2 and 3 emissions.
- Developed ML modules that detect emission-intensive clusters with clustering and regression algorithms.
- Built an AI-driven scenario engine producing conservative, aggressive and optimal reduction pathways.
- Built a calculation engine on official IPCC, EPA, DEFRA and Turkish Ministry of Environment emission factors.
- Integrated a real-time dashboard and the Vico AI assistant for sustainability recommendations.