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GreenSpot - Smart Location Sustainability Analyzer

Project Overview

GreenSpot is a comprehensive web application that leverages Google's Photorealistic 3D Maps to analyze and visualize location sustainability. By integrating multiple Google Maps Platform APIs, it provides real-time environmental metrics and quality-of-life insights.

Core Features

1. Air Quality Layer

  • Visualization: Creates gradient circles around location with opacity based on AQI
  • Data Source: Google Air Quality API
  • Scoring (20 points max):
    • AQI >= 80: 16-20 points
    • AQI >= 60: 12-16 points
    • AQI >= 40: 8-12 points
    • AQI >= 20: 4-8 points
    • AQI >= 1: 0.2-4 points
  • Panel Features: Real-time AQI, health recommendations, dominant pollutants

2. Solar Potential Layer

  • Visualization: 3D polygons representing rooftop solar potential
  • Data Source: Google Solar API
  • Scoring (40 points max):
    • Based on average sunshine (kWh/m²/year)
    • Score = min(averageSunshine / 50, 40)
  • Panel Features: Annual power output, panel configurations, roof segment analysis
  • Known Issue: Misalignment of 3D solar panel elements with building geometry

3. Walkability Layer

  • Visualization: 15-minute isochrone with color-coded amenity markers
  • Data Source: Google Places API
  • Scoring (30 points max):
    • Amenity count: Up to 15 points (2 points per amenity)
    • Type diversity: Up to 10 points (2 points per type)
    • Proximity: Up to 5 points (inverse of average distance)
  • Panel Features: Amenity categorization, distance calculations
  • Known Issue: Places API sometimes returns incorrect location types

4. Green Spaces Layer

  • Visualization: 3D models with volumetric canopy representation
  • Data Source: Google Places API (parks)
  • Scoring (30 points max):
    • Quantity: Up to 10 points
    • Proximity: Up to 10 points
    • Quality (size, ratings): Up to 10 points
  • Panel Features: Park details, ratings, size calculations

5. Transit Layer

  • Visualization: Station markers with connection lines
  • Data Source: Google Places API (transit stations)
  • Scoring (30 points max):
    • Based on station count, type diversity, and proximity
    • 3 points per station
    • 5 points per transit type
    • Distance points (10 - average_distance * 2)

Sustainability Score Calculation

  • Total possible score: 100 points
  • Grade assignments:
    • A+: 90-100
    • A: 80-89
    • B+: 70-79
    • B: 60-69
    • C+: 50-59
    • C: 40-49
    • D: 30-39
    • F: Below 30

AI Analysis Integration

  • Uses Gemini API for insights generation
  • Processes all layer data to generate:
    • Key sustainability strengths
    • Improvement opportunities
    • Overall assessment
  • Uses structured prompting for consistent analysis

Technical Challenges & Solutions

Future Improvements

  1. Enhanced solar panel visualization accuracy
  2. Expanded amenity type validation
  3. Additional sustainability metrics integration
  4. Performance optimization for large areas
  5. Historical data trends analysis