Real Estate Agent

An AI-powered real estate recommendation system that generates, personalizes, and matches property listings based on user preferences.

Features

• Property listing generation using LLM
• Vector similarity search
• Personalized property descriptions
• Preference-based matching
• Rating system for properties

Prerequisites

• Python 3.10+
• OpenAI API key
• CUDA-capable GPU (optional, for faster embeddings)

Installation

1. Clone the repository:

   git clone [email protected]:nmohanan31/Realestateagent.git

   cd RealestateAgent

2. Create and activate virtual environment:

   conda create -n vector_env python=3.10
   conda activate vector_env

3. Install required packages:

   pip install -r requirements.txt

Configuration

Set up OpenAI API credentials:

export OPENAI_API_KEY="your-api-key"
export OPENAI_API_BASE="https://openai.vocareum.com/v1"

Main project files

RealestateAgent
├── realestate_agent.py # Main orchestration
├── generate_listings.py # Listing generation
├── listings_vector_database.py # Vector DB operations
├── userinterface_and_search.py # Search interface
└── personalising_listings.py # Personalized descriptions of Top recommendations

Usage

Run the main program:

python realestate_agent.py

Sample output for check

cat real_estate_output.txt

Features Explained

• Listing Generation: Creates property listings using OpenAI's GPT model
• Vector Search: Implements similarity search using LanceDB
• Personalization: Customizes descriptions based on user preferences
• Rating System: Scores properties on a 1-10 scale across categories
• Sample Output

The program generates:

• Property listings with details
• Similarity search results
• Personalized recommendations
• Category-based ratings
• Error Handling

If you encounter OpenAI API errors:

• Verify API key is set correctly
• Check API base URL
• Dependencies
• openai
• lancedb
• sentence-transformers
• pandas
• numpy