Your project addresses a market that is growing in awareness of energy-intensive AI but lacks real-time, user-friendly dashboards. To develop the project, leverage open-source tools like EcoLogits for inference impact, CodeCarbon for local model monitoring, Eco2AI for emissions tracking. Align with standards like the Software Carbon Intensity (SCI) standard, GHG Protocol for emissions accounting, and ITU/ISO initiatives for global coordination to ensure your project meets recognized benchmarks and enterprise requirements. See also: ITU Report for AI Impact Summit 2026

🅰️ℹ️ Tools were used

After the first iitial disucssion, we form a second team with the following goal:

By the end of the hackathon, we aim to build a practical and user-friendly prototype (or a tutorial) that makes local LLMs accessible and appealing to everyday users, while highlighting their advantages sustinability and for privacy and security.

https://canva.link/r1kc72on6diasx7