AI GeoSite Engineer — EV charging pre-feasibility from a GPS pin.

Enter coordinates and plot area. The tool gathers open geodata (jurisdiction, terrain sample, assumed boundary envelope), then produces an investment-oriented pre-feasibility report: load schedule, transformer window, three concept options, risk register and a GO / CONDITIONAL GO / HOLD / NO-GO call — with every claim confidence-graded.

CONCEPT / PRE-FEASIBILITY — NOT FOR CONSTRUCTION. This is a screening aid. It never confirms HT availability without DISCOM paperwork, never invents boundaries (assumed rectangles are labelled as such), and every output is gated on a licensed survey, DISCOM feasibility and statutory approvals. The free evidence pass uses OpenStreetMap and NASA SRTM open data. The full AI report runs in your browser against your own Anthropic API key — the key and your data never touch our servers.

1 · Project input — only pin + area required

Project name Paste a Google Maps link — or type coordinates below

Latitude *

Longitude *

Plot area *

Unit

What does the GPS pin mark? Vehicle segments Operating model Charger plan (if any)

Target load (kW)

Budget range (INR)

Road access (side / width, if known) Known power supply / nearest source

Canopy

Washrooms

Known constraints (flooding, easements, trees, neighbours…)

Enter latitude, longitude and a positive plot area to begin.

3 · Engine

FREE — deterministic engineering

₹499 — full written report

Gather evidence first (step 1).

The pre-feasibility report appears here.

Workflow: pin + plot area → gather evidence → run the engine.
Output: A–J investment package + KML / GeoJSON + concept sketch.

AI GeoSite Engineer — EV charging pre-feasibility from a GPS pin.

1 · Project input — only pin + area required

2 · Evidence gathered

3 · Engine

Programmatic QC & drawings — deterministic engine, overrides AI prose

4 · Download output package