Client Work

Cadence

Botanical Retrieval System

Transforming a static spreadsheet of HOA-approved plants into an immersive, visual-first platform that helps residents make confident landscaping choices with ease and clarity.

Visual Search
Data Transformation
User Experience
Cadence Botanical System

The Challenge

In the Cadence community of Southern Nevada, where landscaping choices are shaped by heat, water efficiency, and HOA regulations, residents were given a comprehensive list of approved plants—delivered as a PDF.

It contained hundreds of plant names and categories, but no images or filters. For most homeowners, it felt more like decoding a spreadsheet than planning a garden. There was no way to browse visually or understand what each plant might look like once planted.

It made a design-driven decision feel anything but visual.

Plant Catalog Spreadsheet
PDF Format
Original PDF Plant List
No images or visual context
No filtering capabilities
Difficult to navigate and use

The 9Mirrors Solution

9Mirrors reimagined the list as a modern, visual-first platform—transforming static data into a clean, intuitive experience. The goal was to help residents make informed, confident choices by bringing clarity and visual context to every option.

Visual-First Interactive Experience

Smart Filtering
Smart Filtering System

Users can filter by plant type, water usage, and visual style with intuitive category tags.

Favorites & Sharing
Favorites Feature

Save favorite plants to reference later or share with landscapers for collaborative planning.

Key Improvements
Visual browsing

High-quality images for all plant options

Smart filtering

Intuitive categorization and search

User-friendly experience

Modern interface with intuitive navigation

Intelligent Visual Curation

At the core of the project is a custom image sourcing engine that turns raw plant names into clean, structured visual data.

It automatically matches over 400 plant names to their most accurate species image using public platforms like Wikipedia, iNaturalist, and the Global Biodiversity Information Facility (GBIF). The result is a curated gallery that prioritizes accuracy, consistency, and visual clarity—no manual uploads required.

Data Transformation Pipeline

Raw Plant Names
AcaciaAgaveAloeBougainvilleaLantana
Multi-Source API Connections
WikipediaiNaturalistGBIFPlant.idFallback
Structured Visual Data
{ name: 'Acacia', image: 'url', category: 'Tree' }

Behind the Build

The platform was engineered to handle:

  • Multi-source fallback logic for image matching
  • Image quality filtering and normalization
  • Organized image storage and structured JSON output for frontend rendering

Every image, name, and category is cleanly bundled—ready for display or integration into other design systems.

🌱 The Result

The platform replaced a dense document with a helpful digital experience—giving homeowners not only more confidence in their landscaping decisions but also a sense of ease and clarity in the process.

It reflects the 9Mirrors philosophy:

Use structure to reduce friction.
Use intelligence to enhance experience.
Use design to make decisions feel natural.