Realtor AI Assistant

Welcome to the AI Agent for Real Estate Professionals. This application is designed to streamline real estate operations, enhancing efficiency through automated communication and task management. The AI agent handles inquiries, schedules appointments, and interacts with clients across multiple platforms, making it an invaluable tool for real estate agents and agencies.

Backend: AI Agent for Real Estate Professionals

Key Features

1. 1.Property Information Inquiry

• Provides detailed property information, including square footage, pricing, condition, and amenities.

1. 1.Appointment Scheduling

• Integrates with Google Calendar to facilitate the scheduling of property viewings and consultations.

1. 1.Multi-Platform Access

• Accessible through chat-widgets, text messaging, and phone calls, ensuring real-time communication with clients across various channels.

1. 1.24/7 Availability

• Operates around the clock, ensuring no inquiries go unanswered, reducing missed opportunities, and enhancing client satisfaction.

Application Workflow

1. 1.Initialization: Starts at the __start__ node.
2. 2.Main Interaction Hub: The main_agent directs users to specific functionalities.
3. 3.Property Inquiry Process: Routes users to search_criteria_agent and query_database.
4. 4.Appointment Management: Guides users through the appointment_agent and appointment_tools.
5. 5.Human-in-the-Loop: Ensures accuracy for complex tasks.
6. 6.Conclusion of Interaction: Returns to main_agent and ends at __end__ node.

Backend Setup

1. 1.Install dependencies

```bash

pip install -r requirements.txt

```

1. 1.Set up environment variables

• Create a .env file in the root directory of the project.
• Add the necessary environment variables.

1. 1.Download and set up data

• Download the real estate dataset from Kaggle and place it in the /data folder.
• Run csv_to_sql.py to convert the CSV file into an SQL database.

1. 1.Run the main application

• Terminal: python main.py
• Local server:

1. 1.Run the ngrok.exe file.
2. 2.Start the server: uvicorn app-retell.server:app --reload

Frontend: Realtor AI Chat Widget

Features

• Real-time chat interface with an AI assistant
• Responsive design for various screen sizes
• WebSocket integration for live communication
• Tailwind CSS for styling
• TypeScript for type safety

Frontend Setup

1. 1.Install dependencies:

```bash

npm install

```

or

```bash

yarn install

```

1. 1.Create a .env file in the root directory and add any necessary environment variables.

Development

To run the development server:

npm run dev

or

yarn dev

Open http://localhost:5173 to view it in the browser.

Building for Production