A comprehensive environmental analysis tool
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A remote sensing application provides quick and comprehensive details about land cover types, wetlands, streams, ponds, flood zones, and endangered species in your project area, which benefits real estate agents, land buyers, developers, and city planners.
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Led end-to-end delivery of a geospatial land-analysis application, spanning client requirements, React mapping workflows, Django services, PostgreSQL, integrations, reporting, and release coordination.
Built interactive Mapbox workflows for user-drawn polygons and shapefile uploads, using Turf.js and GDAL to calculate and visualize project boundaries.
Developed the Django and GDAL backend that connected spatial-data processing and environmental land analysis with the application and reporting workflows.
Automated generation of structured PDF land-analysis reports and integrated Stripe for in-application payment processing.
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