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7/12/2026
CarbonSense: Using Google Gemini to interpret satellite imagery for carbon credit monitoring

CarbonSense: Using Google Gemini to interpret satellite imagery for carbon credit monitoring

Original: Can AI Make Carbon Credits More Trustworthy? I Tried Building an Answer with Gemini 🌍

Short summary

The author built CarbonSense, a web app using Google Gemini to interpret satellite imagery and provide AI-generated insights about carbon credit projects. Built with Next.js and deployed on Vercel, the project aims to make environmental data more accessible. The article is mostly a project showcase with links to a live demo and GitHub repo, offering limited technical depth or reusable methodology.

  • •CarbonSense uses Google Gemini to interpret satellite imagery for carbon project transparency
  • •Built with Next.js, React, TypeScript, Tailwind CSS, and deployed on Vercel
  • •Article is primarily a project showcase with demo and repo links — limited technical depth

Generated with AI, which can make mistakes.

#ai-tools#industry-adoption
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