Real Estate Investment Optimizer

This Shiny web application helps real estate investors optimize their property search based on their specific priorities and budget constraints.

Deployed EC2 Instance Link:

http://3.101.14.134

Features

• Investment Parameters

  • Budget range specification ($min - $max)
  • Property type preferences (warehouse, office, retail, etc.)
  • Priority optimization metrics:
    • Square footage maximization
    • Number of rooms optimization
    • Location value scoring
    • Return on Investment (ROI) potential

• Interactive Visualization

  • Heat map of property locations
  • Property comparison charts
  • Optimization results display

Setup

To run this application, you need:

1. Python 3.7+ installed on your system
2. The following Python packages:

   pip install shiny pandas numpy folium plotly

Running the Application

To run the application:

1. Open a terminal
2. Navigate to this directory
3. Run: shiny run app.py

Structure

• app.py: Main application file containing both UI and server logic
• utils/: Helper functions for optimization and data processing
• data/: Property dataset and related files

How It Works

1. Users input their investment parameters:

   • Budget range
   • Property type preferences
   • Optimization priorities

2. The application uses optimization algorithms to:

   • Filter properties within budget
   • Apply weighted scoring based on priorities
   • Rank properties by optimization criteria

3. Results are displayed through:

   • Interactive heat map
   • Detailed property comparisons
   • Optimization metrics visualization