'SQUAREONE' Property Investment Analysis Prototype - Code Package

A comprehensive property investment analysis platform built with React frontend and Python backend, featuring AI-powered property condition analysis and renovation cost estimation.

Key Modules Developed

Backend (Python) - Custom Development

• pipeline.py - Core property analysis pipeline with functions:

  • process_listing() - Processes individual property listings
  • analyse_results() - Analyzes property condition and generates insights
  • run_pipeline() - Orchestrates the full analysis workflow

• vision.py - AI vision processing module with functions:

  • identify_room() - Classifies room types from images
  • classify_room_condition() - Assesses condition state of rooms
  • analyse_floorplan() - Processes floor plan images
  • generate_refurb_edit() - Creates renovation visualization renders
  • refurb_cost_estimate() - Generates detailed cost breakdowns

• db.py - Firestore database interface with functions:

  • save_listing() - Persists property data
  • get_all_listings() - Retrieves all properties
  • search_listings_by_location() - Geographic search functionality
  • get_listings_in_bounds() - Map-based property filtering

Frontend (React) - Custom Development

• PropertyInfo.jsx - Main property detail dialog component

  • Responsive mobile/desktop layouts
  • Image carousel with full-screen viewing
  • Interactive cost estimation interface
  • Property bookmarking functionality

• Custom React Hooks - State management utilities

  • useLikes.js - Property favoriting system
  • useIsMobile.js - Responsive breakpoint detection

• Cost Estimation Components

  • RefurbCostEstimateCard.jsx - Interactive cost breakdown cards
  • CostScenarioCard.jsx - ROI calculation interface
  • InfoCells.jsx - Property information display

🟢 Written by Author (100% Author, 0% AI)

main.py

db.py

models.py

Dockerfile

CostScenarioCard.jsx

InfoCells.jsx

PropertyListView.jsx

PropertyPreviewCard.jsx

RefurbCostEstimateCard.jsx

LikesContext.jsx

App.jsx

main.jsx

index.html

postcss.config.js

tailwind.config.js

🟡 Written Partially by Author + AI (Author% / AI%)

pipeline.py (70/30)

scraper.py (30/70)

vision.py (80/20)

MapView.jsx (40/60)

PropertyFilters.jsx (50/50)

PropertyInfo.jsx (70/30)

useIsMobile.js (80/20)

useLikes.js (90/10)

utils.jsx (90/10)

propertyServices.js (70/30)

FirebaseClient.js (70/30)

vite.config.js (70/30)

🔴 Written by AI (0% Author, 100% AI)

ui

index.css

eslint.config.js