AI-Powered Real Estate Platform

A modern real estate platform that leverages artificial intelligence to provide intelligent property search, analysis, and agent interactions.

Features

• 🏠 Intelligent Property Search

  • Natural language property search
  • AI-powered preference analysis
  • Smart filtering and sorting

• 🤖 AI-Powered Property Analysis

  • Market value assessment
  • Investment potential analysis
  • Neighborhood insights

• 📊 Market Insights and Predictions

  • Price trend analysis
  • Market condition reports
  • Future value predictions

• 🗺️ Interactive Property Maps

  • Location-based search
  • Neighborhood analytics
  • Points of interest

Tech Stack

• Frontend: Next.js 13 with App Router, TypeScript, Tailwind CSS
• Backend: Next.js API Routes, Prisma ORM
• Database: PostgreSQL
• AI Integration: OpenAI GPT-4
• Authentication: NextAuth.js
• UI Components: Headless UI, Heroicons

Getting Started

1. Clone the repository:

   git clone https://github.com/your-username/real-estate-ai-platform.git
   cd real-estate-ai-platform

2. Install dependencies:

   npm install

3. Set up environment variables:

   cp .env.example .env

   Fill in the environment variables in .env with your values.

4. Set up the database:

   npx prisma generate
   npx prisma db push

5. Run the development server:

   npm run dev

Environment Variables

Create a .env file with the following variables:

# Database
DATABASE_URL="postgresql://user:password@localhost:5432/real-estate-ai"

# Authentication
NEXTAUTH_SECRET="your-nextauth-secret"
GOOGLE_CLIENT_ID="your-google-client-id"
GOOGLE_CLIENT_SECRET="your-google-client-secret"

# OpenAI
OPENAI_API_KEY="your-openai-api-key"

# Next.js
NEXT_PUBLIC_APP_URL="http://localhost:3000"

Project Structure

├── app/                 # Next.js 13 app directory
│   ├── api/            # API routes
│   ├── auth/           # Authentication pages
│   └── ...            # Other pages
├── components/         # React components
├── lib/                # Utility functions and configurations
├── prisma/             # Database schema and migrations
└── public/             # Static assets

Features Implementation

AI-Powered Search

The platform uses OpenAI's GPT-4 to analyze natural language search queries and extract relevant property preferences. This allows users to search for properties using natural language descriptions of their ideal home.

Market Analysis

The AI system analyzes market trends, property values, and local factors to provide insights about property investment potential and market conditions.

Personalized Recommendations

Based on user preferences and search history, the AI generates personalized property recommendations and insights.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT