Play 69
Carbon Footprint Tracker
High✅ Ready
Real-time carbon accounting across cloud resources and supply chain.
Real-time carbon accounting across cloud resources and supply chain with automated ESG reporting and reduction recommendations. Azure Monitor collects resource consumption metrics, OpenAI calculates carbon equivalents using emission factor databases, Event Hubs processes real-time supply chain events, and Cosmos DB stores historical carbon data for trend analysis. Generates Scope 1/2/3 reports aligned with GHG Protocol.
Architecture Pattern
Event-driven carbon accounting: resource metrics → emission calculation → reporting → optimization
Azure Services
Azure MonitorAzure OpenAICosmos DBEvent HubsAzure Functions
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Carbon Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (281 lines), evaluate (113 lines), tune (188 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI key input + envFile
TuneKit (AI Config)
- config/openai.json — emission factor analysis prompts
- config/carbon.json — emission factors, scope definitions, reporting frameworks
- config/guardrails.json — data accuracy, audit trail
- evaluation/eval.py — Calculation accuracy >95%, Report compliance >90%
Tuning Parameters
Emission factor databaseScope 1/2/3 boundariesReporting framework (GHG/TCFD/CDP)Reduction target thresholdsSupply chain data sources
Estimated Cost
Dev/Test
$80–200/mo
Production
$2K–6K/mo