Renderkelly

Inspiration

Architectural visualization often requires significant time and technical setup. Architects and interior designers frequently spend hours configuring rendering engines, adjusting materials, and preparing scenes just to produce a single visualization.

Many early-stage ideas are sketched quickly in tools like SketchUp, but turning those rough models into compelling visuals still requires a complex workflow.

RenderKelly was created to simplify this process.

The goal is to allow architects to generate high-quality renders directly from simple inputs such as screenshots or sketches.

What it does

RenderKelly is an AI architectural visualization tool that converts SketchUp screenshots and sketches into photorealistic renders in seconds.

Instead of exporting scenes and configuring traditional rendering engines, users can upload a screenshot of their model and generate a visualization almost instantly.

This makes the tool useful for:

• early concept exploration
  
• fast design iteration
  
• quick client presentations
  
• testing architectural ideas visually

How we built it

RenderKelly uses modern AI image generation models combined with a cloud-based processing pipeline.

The platform analyzes architectural structures present in sketches or screenshots and generates a realistic interpretation of the space, including lighting, materials, and environmental context.

The rendering process runs entirely in the cloud, allowing users to generate images without needing powerful hardware.

Challenges we ran into

One of the main challenges was maintaining architectural consistency when generating renders from rough inputs.

Sketches and screenshots can vary greatly in quality and structure, so the system needed to interpret geometry and spatial relationships accurately.

Another challenge was optimizing generation speed so architects could iterate quickly without long render times.

What we learned

Working on RenderKelly highlighted how AI can significantly improve early-stage design workflows.

Instead of replacing traditional rendering tools, AI can complement them by enabling faster experimentation and visual exploration.

What's next for RenderKelly

Future improvements may include additional architectural styles, improved control over render outputs, and expanded workflows for architects and interior designers.

Built With

• ai
• cloud
• computing
• generation
• image
• javascript
• learning
• machine
• next.js
• node.js