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AqarAI.

From room to possibility.

Connecting spatial context, real furniture, and image-generation workflows in one design experience.

Next.jsReactTypeScriptPythonFastAPIOpenAI API

Watch the interior transformation — selected scene

Owner-supplied interior transformation visualization. It illustrates the visual direction; it is not a screen recording or evidence of application-generated output. Silent video.

Owner-supplied interior transformation visualization. It illustrates the visual direction; it is not a screen recording or evidence of application-generated output.

AqarAI connects room analysis with furniture selection and image generation. Its source includes a room-context interface, measured dimensions, inventory review, template workflows, spatial constraints, and a backend image-generation service.

My contribution

Responsive interface development and AI workflow integration, connecting room inputs and product selection to backend analysis and generation services.

Context before generation

Room analysis combines image input with measured dimensions, obstacles, and circulation information through a structured schema.

Products with real attributes

Catalog and template services track product dimensions and origin, resolve slots, and check room fit before rendering.

An explicit generation pipeline

A render manifest and compliance services connect selected furniture and room constraints to image generation. Billable image edits disable automatic SDK retries.

Connecting visual generation to room measurements and selected products, rather than treating every design request as an unconstrained image prompt.

The source separates room analysis, inventory selection, placement planning, render manifests, and compliance checks. These are engineering safeguards, not a claim of perfect visual fidelity.

Garage TahmeenCinematic automotive web experience