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Dev.to
6/24/2026
How I Built a Carbon Footprint Tracker with Django + NVIDIA NIM

How I Built a Carbon Footprint Tracker with Django + NVIDIA NIM

Short summary

Developer built Carbon.Ledger, a Django + NVIDIA NIM app that tracks personal CO₂ emissions and generates AI-powered reduction tips. Core pattern: prevent LLM hallucinations by validating all extracted numbers against provided context. Deployed in <1 week with 146 tests, 99% coverage, and live on Render.

  • •Full-stack Django app for CO₂ tracking with AI-powered personalized tips
  • •Hallucination guard pattern: validate every number LLM extracts against context data
  • •Infrastructure: Django 5, PostgreSQL, Redis, NVIDIA NIM, deployed on Render in <7 days

Generated with AI, which can make mistakes.

#ai-tools#product-launch#open-source
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The original title is: "I Built an AI Tool That Finds Wasted Cloud Spending — And Its Carbon Footprint."
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