Revolutionary AI-Powered Construction Management Platform

A comprehensive Next.js application that integrates Revit API with intelligent agent orchestration, featuring real-time chat, 3D BIM visualization, document processing, and seamless project coordination.

• Suna AI Chat Interface - Central conversational hub with real-time messaging
• Multi-Agent Dashboard - Coordinate Data Upload Bot, PM Bot, Design Converter
• Real-time WebSocket - Live agent interactions and status updates
• Task Routing - Intelligent distribution of work across specialized agents

• Interactive 3D Viewer - Three.js WebGL rendering with sample building model
• Clash Detection - Real-time conflict identification with severity levels
• Element Selection - Click any building component to view properties
• Navigation Controls - Zoom, pan, rotate, and section views

• Drag & Drop Upload - Support for CAD, PDF, images, spreadsheets (up to 500MB)
• OCR Processing - Real Tesseract.js text extraction with confidence scoring
• Smart Classification - Automatic document categorization
• Progress Tracking - Live upload and processing status

• Multiple Views - Grid, List, Timeline, and Kanban project views
• Team Directory - Role-based user management with permissions
• Task Assignment - Natural language task creation and tracking
• Budget Monitoring - Real-time project financial tracking

• NextAuth.js - Role-based authentication with demo users
• Supabase RLS - Row-level security for project data
• JWT Sessions - Secure session management
• Data Encryption - TLS 1.2+ and AES-256 protection

Try the platform immediately with these demo credentials:

• Project Manager: john@constructai.com / demo123
• Senior Architect: sarah@constructai.com / demo123
• Structural Engineer: mike@constructai.com / demo123

# Clone the repository git clone https://github.com/yourusername/construction-ai-platform.git cd construction-ai-platform # Install dependencies bun install # Start development server bun dev

Open http://localhost:3000 to see the platform.

This platform is optimized for complete Supabase deployment using Edge Functions for both frontend and backend - a unified, powerful solution.

# Install Supabase CLI npm install -g supabase # Login and link to your project supabase login supabase link --project-ref your-project-ref # Run automated deployment script ./deploy.sh

1. Create Supabase Project at supabase.com
2. Install & Link Supabase CLI to your project
3. Deploy Database Schema via supabase db push
4. Deploy Edge Functions via supabase functions deploy
5. Configure Authentication and storage buckets

📖 Complete Instructions: See DEPLOYMENT_GUIDE.md

• Next.js 14+ - React framework with App Router
• TypeScript - Type-safe development
• Tailwind CSS - Utility-first styling
• Shadcn/UI - Modern component library
• Three.js - 3D visualization and WebGL

• Supabase - Complete backend solution with PostgreSQL, Auth, Storage, Edge Functions
• Edge Functions - Serverless functions for frontend hosting and API endpoints
• NextAuth.js - Authentication and session management
• Socket.IO - Real-time bidirectional communication
• Tesseract.js - Client-side OCR processing

• OpenAI API - (Optional) Enhanced AI responses
• Google Document AI - (Optional) Advanced OCR
• Autodesk Forge - (Optional) CAD file processing

construction-ai-platform/ ├── src/ │ ├── app/ # Next.js App Router pages │ │ ├── (auth)/ # Authentication pages │ │ ├── api/ # API routes and endpoints │ │ ├── bim/ # 3D BIM viewer │ │ ├── chat/ # Suna AI chat interface │ │ ├── projects/ # Project management │ │ └── team/ # Team directory │ ├── components/ # Reusable UI components │ │ ├── auth/ # Authentication components │ │ ├── bim/ # 3D viewer components │ │ ├── documents/ # File upload components │ │ └── layout/ # Layout components │ ├── lib/ # Utility libraries │ │ ├── auth.ts # NextAuth configuration │ │ ├── supabase.ts # Supabase client setup │ │ └── socket.ts # Socket.IO configuration │ └── types/ # TypeScript type definitions ├── supabase-schema.sql # Complete database schema ├── DEPLOYMENT_GUIDE.md # Detailed deployment instructions └── deploy.sh # Automated deployment script 

• Live chat with AI agents and team members
• Real-time project updates and notifications
• Collaborative 3D model viewing and annotation
• Instant file processing and sharing

• Multi-format file support (DWG, DXF, PDF, XLSX, CSV, Images)
• Intelligent OCR with confidence scoring
• Automatic document classification and tagging
• Version control and revision tracking

• Interactive building model visualization
• Automated clash detection and reporting
• Element property inspection and editing
• Construction phase timeline visualization

• AI-powered project insights and recommendations
• Automated task assignment and scheduling
• Budget tracking and cost analysis
• Building code compliance checking

# Supabase Configuration NEXT_PUBLIC_SUPABASE_URL=your-supabase-url NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key SUPABASE_SERVICE_ROLE_KEY=your-service-key # Authentication NEXTAUTH_URL=your-deployment-url NEXTAUTH_SECRET=your-secret-key # Optional: AI Services OPENAI_API_KEY=your-openai-key GOOGLE_AI_API_KEY=your-google-ai-key

The platform includes a complete SQL schema with:

• User management and role-based permissions
• Project data with team assignments
• Document storage and processing tracking
• Chat message history and agent logs
• BIM model metadata and clash detection results

• Server-side Rendering - Fast initial page loads
• Static Generation - Optimized build output
• Image Optimization - Automatic image compression
• Code Splitting - Lazy loading of components
• Edge Functions - Global distribution

• Response Time: <3 seconds for 95% of requests
• Concurrent Users: 500+ simultaneous users supported
• File Processing: <10 seconds for files under 5MB
• 3D Rendering: 60fps performance on modern devices
• Database Queries: <1 second for complex operations

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• Documentation: Complete guides in DEPLOYMENT_GUIDE.md
• Issues: Report bugs and feature requests in GitHub Issues
• Discussions: Join community discussions for help and ideas

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