Our data collection system combines high-resolution drone imagery, satellite data, and field-level inputs to ensure no tree is missed and no eligible farmer is overlooked
High-resolution drone imagery, combined with satellite data, gives us centimeter-level views of every farm and forest we work in. This enables tree counts, health assessments, and land-use mapping that were impossible with manual methods
Our central hub for field operations - uniting farmer, land, and inventory data into a real‑time view of thousands of hectares. It helps teams track resources, spot gaps, and stay accountable at every step
Our multilingual Whatsapp-based chatbot 'Chutki AI' keeps us connected to farmers, sharing updates, collecting feedback, and supporting enrollment - all through a tool they already use every day
Our open‑source AI suite transforms field data into powerful insights - scalable, transparent, and cost‑efficient.Within the Project Anāhitā ecosystem, three core tools work together to track and amplify impact.
TreeLens analyzes drone imagery to count and geo‑tag every tree, identify species, estimate carbon sequestration, and assess health. It detects even saplings under four feet tall, giving us tree‑by‑tree precision from year one of planting
We've published a white paper detailing TreeLens’ AI models, drone workflows, and validation - showing over 90% accuracy in mature tree detection and significantly lower costs than traditional monitoring
Most of our code is publicly available on GitHub for anyone to access, use, or build upon
Our impact dashboard visualizes environmental outcomes - tracking survival rates, growth, biodiversity, water savings, and carbon captured. It turns complex data into simple insights for funders, enabling transparent impact reporting
This platform tracks forest health and reduction in logging, while monitoring cookstove adoption, to estimate carbon saved through reduced fuelwood use. It combines satellite data, field reports, and community inputs for a clear view of impact