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[general]
name=GeoPrompt Urban Scenario Visualizer
email=firmanafrianto@mail.ugm.ac.id
author=Firman Afrianto, Maya Safira
qgisMinimumVersion=3.28
description=GeoPrompt Urban Scenario Visualizer is a QGIS plugin designed to generate AI-assisted georeferenced urban and regional planning scenario visualizations from the active QGIS map canvas.

    The plugin converts a selected QGIS canvas extent into an image, sends it to supported image-generation or image-editing providers, and writes the generated result back into QGIS as a georeferenced GeoTIFF layer.

    GeoPrompt is designed to help planners, designers, researchers, and policy analysts communicate spatial planning alternatives through visually rich scenario images while preserving the original map extent and coordinate reference system.

    The plugin supports planning-oriented visual workflows for detailed spatial planning, strategic environmental assessment, transit-oriented development, low-carbon districts, green infrastructure, sponge city strategies, complete streets, urban heat mitigation, and inclusive public realm design.

    This tool allows urban and regional planning practitioners to transform QGIS map views into scenario-based visual intelligence for workshops, presentations, policy communication, and early-stage planning exploration.

    The plugin is designed for applications including:
    1. AI-assisted urban planning scenario visualization
    2. Detailed spatial plan and land-use concept communication
    3. Strategic environmental assessment and climate adaptation illustration
    4. Transit-oriented development and mobility corridor visualization
    5. Low-carbon, net-zero, sponge city, and green infrastructure scenario design
    6. Urban design framework and public realm visualization
    7. Planning communication for public consultation, workshops, and presentations

about=GeoPrompt Urban Scenario Visualizer provides a geospatial AI workflow to convert QGIS map canvases into georeferenced planning scenario outputs.

    The plugin exports a selected map extent from the QGIS canvas, sends the exported image and user-selected prompt preset to supported AI image providers, receives the generated image result, and writes it back into the project as a GeoTIFF layer with spatial reference, extent, prompt metadata, model metadata, and AI-use warnings.

    Core capabilities include provider switching between OpenAI and Google Gemini Image, curated Urban and Regional Planning prompt presets, Basic / Intermediate / Advanced preset categories, preserve-geometry mode, no-zoom prompt guarding, ratio-locked selection, optional padding and crop alignment, direct loading into the QGIS Layers Panel, optional zoom-to-result, custom model ID support, and metadata embedding inside output GeoTIFFs.

    The prompt preset library supports contemporary planning themes such as complete streets, walkability, 15-minute neighborhoods, transit-supportive development, bus priority corridors, sponge city planning, climate resilience, blue-green infrastructure, urban heat mitigation, net-zero districts, inclusive public realm, post-mining recovery, tourism corridors, land-use zoning, development control, urban growth boundaries, waterfront setbacks, and public facility reservation.

    GeoPrompt is intended as a planning communication and scenario visualization tool. It does not produce official statutory maps, survey-grade spatial data, land parcel delineations, authoritative land-use classifications, or legally binding planning outputs. Generated images should be reviewed by qualified professionals before being used in reports, plans, consultations, or decision-support processes.

version=1.0.3
tracker=https://github.com/firmanaf/GeoPrompt-Urban-Scenario-Visualizer/issues
repository=https://github.com/firmanaf/GeoPrompt-Urban-Scenario-Visualizer

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category=Urban and Regional Planning Analysis
changelog=1.0.3 - Metadata refinement following a formal QGIS plugin metadata structure with mandatory and optional sections, expanded professional description, detailed about text, planning-oriented use cases, dependency metadata, repository links, and clearer AI scenario visualization scope. Previous updates include full English UI, Basic / Intermediate / Advanced prompt preset groups, expanded mobility and zoning prompt presets, OpenAI and Google Gemini Image provider support, preserve-geometry mode, no-zoom guardrails, direct GeoTIFF loading into QGIS, and metadata embedding in output rasters.
tags=AI,geospatial AI,GeoPrompt,urban scenario,urban planning,regional planning,spatial planning,detailed spatial plan,strategic environmental assessment,transit oriented development,complete streets,walkability,sponge city,net zero district,low carbon city,green infrastructure,blue green infrastructure,urban heat mitigation,land use zoning,development control,planning communication,OpenAI,Google Gemini Image,QGIS,GeoTIFF
homepage=https://github.com/firmanaf/GeoPrompt-Urban-Scenario-Visualizer
icon=resources/icons/geoprompt_icon.svg
experimental=True
deprecated=False
qgisMaximumVersion=3.99
plugin_dependencies=openai,google-genai,Pillow,requests