Pravan: A Geo-Verified Data Pipeline for Carbon Credit Reporting
Client: From AgriTech Industry
A full-stack platform built to capture GPS-tagged, photo-verified tree data at scale and turn it into structured reports for carbon credit programs, with QR-tagged trees giving the public instant access to tree info on their phone.
01The Challenge
Carbon credit verification demands data that can survive an audit, not just a spreadsheet someone filled in from memory. The client needed to capture tree-level data across large, often remote sites, at a volume that would eventually run into the tens of thousands, and every record had to be defensible: where the tree actually is, what condition it's actually in, tied to a timestamp and a location that can't be disputed. Manual logging couldn't scale to that, and generic form-builder tools had no concept of geo-verification or the kind of structured rollups carbon methodologies require. The system also had to hold up in the field: patchy connectivity, non-technical surveyors, and thousands of records that all needed to stay clean and traceable.
02The Solution
We built the Android field app around the phone's GPS and camera as first-class data sources, not afterthoughts. Every tree record captures its precise coordinates and a timestamped photo at the point of collection, so location and condition are verified at source rather than reconstructed later. That data syncs to a Firebase/Firestore backend, where Cloud Functions handle validation and processing as records come in, keeping the pipeline consistent even as volume scales into the tens of thousands. On the web side, a dashboard turns that raw field data into structured reports and Chart.js-powered analytics the client can use directly for carbon credit documentation, with export tooling built for that reporting workflow specifically. Each tree also carries a unique generated tag, so it stays individually traceable across surveys rather than disappearing into an aggregate count. The result is a pipeline where data integrity is built in at the point of capture, not bolted on afterward.
03Tech Stack
Typescript
Javascript
React Native
Vite.js
Firebase
Google Cloud Platfrom (GCP)
Algolia Search
Figma for UI/UX design"With Nexaris, we can now handle unlimited tree data without breaking a sweat. They didn't just build to spec, they understood the core problem and engineered a system where data reliability was built in from the start."
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