Real Estate App with OpenAI, LangChain, Convex, and Tailwind CSS

A real estate application that allows users to search properties in Seattle using natural language and get AI-powered recommendations based on their preferences.

Figma Link

Features

Search properties in Seattle using natural language queries
Save favorite properties to the database
Get AI-powered property recommendations using vector similarity search
Responsive UI with Tailwind CSS
Real-time updates with Convex database

Tech Stack

Frontend

React 18
Vite
Tailwind CSS
TanStack Router (formerly React Router)

Backend

Express.js
Node.js
Convex (for vector database)
LangChain
OpenAI

APIs

OpenAI API (for embeddings and natural language processing)
Zillow API (via RapidAPI)

Prerequisites

Before running the application, make sure you have:

Node.js installed
An OpenAI API key
A RapidAPI key with access to the Zillow API
A Convex account

Environment Setup

Create a .env file in the root directory with the following variables:

OPENAI_API_KEY=your_openai_api_key
RAPID_API_KEY=your_rapid_api_key
VITE_CONVEX_URL=your_convex_url

Installation & Setup

Install dependencies:

npm install

Log in to Convex (if not already logged in):

npx convex login

Running the Application

You'll need three terminal windows to run all components:

Start the Convex development server:

npx convex dev

Start the Express backend server:

npx nodemon server.js

The server will run on http://localhost:3001

Start the frontend development server:

npm run dev

The app will be available at http://localhost:5174

Project Structure

/src - React frontend code
/convex - Convex database schema and functions
server.js - Express backend server
/public - Static assets

Contributing

Contributions are welcome! If you'd like to contribute to this project:

Fork the repository
Create a feature branch
Make your changes
Submit a pull request

License

This project is licensed under the MIT License.

akashwarrior/learning-ai

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