Smart Office Dashboard 🏢

A comprehensive conference room utilization and analytics platform built for Dewey, Cheatham & Howe Law Firm. This Next.js application demonstrates enterprise-grade IoT sensor data processing, real-time monitoring, and advanced analytics capabilities using Supabase as the backend.

For more information, please refer to the FEATURES.md file.

📋 Prerequisites

• Node.js 18+
• npm/yarn/pnpm
• Supabase account with project setup
• Environment variables (see configuration below)

🚀 Quick Start

1. Clone and Install

   git clone git@github.com:supabase/smart-office-demo.git
   cd smart-office-dashboard
   npm install

2. Environment Configuration

   # Configure your Supabase project specific variables
   cp .env.example .env.local
   
   # add an .env file, add an OPENAI_API_KEY
   touch supabase/functions/.env

3. Start a local Supabase dev environment

   npx supabase start

4. Start the Next.js dev server

   npm run dev

5. Access Application Open http://localhost:3000

Generate demo data

1. Run the following commands, either in parallel or sequentially:

   npm run generate:rooms
   npm run generate:users
   npm run generate:tickets
   npm run generate:images

2. Deploy the functions:

   npm run functions:deploy-all

3. Load some initial sensor data simulator:

   npm run simulate:sensors
   # Run it every time you want to simulate new sensor data for the real-time floorplan viewer

4. Load some initial booking data simulator:

   npm run simulate:bookings

🌊 pgflow Workflow Engine

This project includes pgflow, a workflow engine for Supabase that helps with background jobs and queue processing. See PGFLOW.md for local development setup and examples.

🚀 Deployment

Vercel Deployment (Recommended)

# Build and deploy
npm run build
# Configure environment variables in Vercel dashboard
# Connect GitHub repository for automatic deployments

For pgflow workflows in production, see Deploy to Supabase.com.

Manual Production Deployment

npm run build
npm run start

Environment Variables for Production

Ensure all environment variables are configured in your deployment platform with production Supabase credentials.

🤝 Contributing

1. Fork the repository
2. Create feature branches (feature/analytics-enhancement)
3. Follow TypeScript best practices
4. Add tests for new features
5. Submit pull request with detailed description

📄 License

MIT License - see LICENSE file for details

🏢 About Dewey, Cheatham & Howe

This application is built for the fictional law firm "Dewey, Cheatham & Howe," serving as a sophisticated demonstration of modern office technology solutions. The firm's 57 conference rooms across multiple floors provide an ideal scenario for showcasing enterprise-scale IoT monitoring and analytics capabilities.

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Built with ❤️ for enterprise IoT demonstrations Showcasing: Next.js 15, Supabase, Analytics Buckets, Real-time Data Processing