Unit2Go Visualiser

F 45 completed
Web App
web_app / typescript · tiny
35
Files
11,559
LOC
2
Frameworks
7
Languages

Pipeline State

completed
Run ID
#368837
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
46.67
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47959
Member of a group with 3 similar repo(s) — canonical #53302 view group →
Top concepts (2)
Project DescriptionWeb Frontend
Repobility · MCP-ready · https://repobility.com

AI Prompt

Create an AI-powered web application for visualizing tiny home placements. I need it to use React and Vite, and integrate with the Google Gemini 2.5 Flash Image API. The core functionality should allow users to upload property photos (supporting JPEG, PNG, WebP, HEIC up to 20MB) and visualize the Unit2Go Deluxe Tiny Home in that space. Please include controls for adjusting the position and simulating 24-hour lighting conditions based on New Zealand settings. The design should feature a premium light mode, and the final visualization must be downloadable as an image.
typescript react vite ai google-gemini web-app visualization image-upload frontend
Generated by gemma4:latest

Catalog Information

The unit2go-visualiser project is designed to help users visualize the placement of tiny homes using AI-powered technology.

Description

This project uses artificial intelligence to create a visual representation of tiny home placements. It leverages Google Gemini for its functionality. The tool aims to provide an intuitive way for users to explore and understand the possibilities of tiny home placement. With this visualization, users can better comprehend the spatial requirements and constraints involved in placing tiny homes.

الوصف

هذا المشروع يستخدم الذكاء الاصطناعي لإنشاء تمثيل مرئي للوضع المكاني للمنازل الصغيرة. يعتمد على تكنولوجيا جوجل جيميومي (Gemini) لتشغيله. يهدف هذا الأداة إلى تقديم طريقة سهلة الاستخدام لل пользователя لفهم وتنظيم مكان المنزل الصغير. يمكن للمستخدمين من خلال هذه التمثيل المرئي فهم احتياجات المساحة والقيود المتعلقة بتركيب المنازل الصغيرة.

Novelty

7/10

Tags

tiny-home-visualization ai-powered home-placement spatial-planning real-estate urban-planning

Technologies

react threejs vite

Claude Models

claude (unknown version)

Quality Score

F
45.3/100
Structure
40
Code Quality
45
Documentation
41
Testing
0
Practices
66
Security
100
Dependencies
60

Strengths

  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 2 files with critical complexity need refactoring
  • 1367 duplicate lines detected \u2014 consider DRY refactoring
  • 2 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

9.3h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (14)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
ISC
License
10.1%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

typescript
40.0%
json
30.6%
css
25.9%
markdown
2.1%
toml
1.1%
sql
0.2%
html
0.1%

Frameworks

React Vite

Concepts (2)

Analysis by Repobility (https://repobility.com) · MCP-ready
CategoryNameDescriptionConfidence
Repobility · code-quality intelligence platform · https://repobility.com
auto_descriptionProject DescriptionAI-powered tiny home placement visualization tool using Google Gemini 2.5 Flash Image API.80%
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

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