Thx! Inspirations for this project included:
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
4 weeks ago
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Oleg
Added the powerpoint slidedeck with video recording embedded
4 weeks ago
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Andrew
Presentation, back-end, front-end developed. Working on polishing the details and how to demo the system on dribdat.
4 weeks ago
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Andrew
Amazing how quickly the team formed and started working together, dividing tasks, deciding quickly on an idea and turning it into a demo.
4 weeks ago
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Andrew
* dribs n. pl.: in small amounts, a few at a time