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🌞 SolarAIAssistant

AI-powered rooftop analysis tool for solar installation potential assessment


πŸ“– Overview

SolarAIAssistant analyzes rooftop satellite imagery to assess the solar installation potential of properties. It provides comprehensive reports including:

  • πŸ“Š Financial ROI analysis
  • βš™οΈ Technical specifications
  • πŸ—οΈ Installation recommendations

Perfect for homeowners, solar professionals, and commercial property owners.


πŸš€ Features

  • πŸ” AI Image Analysis – Rooftop assessment from satellite/aerial imagery
  • πŸ“Š Solar Metrics – Potential scoring, generation capacity, and system sizing
  • πŸ’° Financial Analysis – ROI calculations and payback periods
  • 🏠 Multi-Property Support – Residential, commercial, and complex rooftops
  • πŸ“± Responsive Design – Works on desktop, tablet, and mobile

⚑ Quick Start

Direct Use (HTML File)

# Download and open in browser
curl -O https://raw.githubusercontent.com/yourusername/solar-analysis-ai/main/solar-analysis-tool.html
open solar-analysis-tool.html

🧠 Usage

  • Upload Image – Aerial/satellite photo of the rooftop or use demo examples
  • Analyze – AI processes the image and calculates solar potential
  • Review Results – Get a detailed report with solar metrics and installation recommendations

πŸ§ͺ Demo Examples

  • 🏑 Residential – Single-family home rooftop analysis
  • 🏒 Commercial – Large warehouse rooftop
  • 🏘️ Complex – Multi-level roofs with obstacles

πŸ› οΈ Technology Stack

  • Frontend: HTML5, CSS3, Vanilla JavaScript
  • AI Ready: Prepared for OpenRouter/GPT-4 Vision integration
  • Deployment: Static hosting (Netlify, Vercel, GitHub Pages)

Key formulas used

  • systemSize = suitableArea Γ— 0.015 // kW
  • annualGeneration = systemSize Γ— 1200 Γ— solarPotential
  • paybackPeriod = installationCost Γ· annualSavings
  • co2Offset = annualGeneration Γ— 0.0007 // tons/year

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