Skip to main content

Welcome to Peack's Documentation

Welcome to Peack's comprehensive documentation hub – your guide to building modern, AI-powered applications and services.

� What You'll Find Here​

This documentation covers our ecosystem of innovative projects and platforms:

  • DAGGH: Next.js frontend with swipe-based movie discovery
  • ML Service: Advanced recommendation engine with machine learning
  • Documentation Platform: Modern docs powered by Docusaurus
  • APIs & Services: Complete integration guides and references

🚀 Quick Navigation​

🎯 New to Our Platform?​

Start with our Getting Started Guide to understand the platform architecture and setup process.

🎬 Frontend Development​

Explore the DAGGH documentation for:

  • Swipe-based user interfaces
  • Real-time collaborative features
  • Modern React implementation patterns

🤖 Machine Learning & AI​

Check out the ML Service documentation for:

  • Advanced recommendation algorithms
  • AI model implementation
  • FastAPI service architecture

📚 API Integration​

Browse our API Documentation for:

  • REST API endpoints
  • Authentication guides
  • Integration examples and SDKs

🔧 Development Workflow​

  1. Local Setup: Follow individual app setup guides
  2. Development: Use our development workflow documentation
  3. Testing: Comprehensive testing strategies
  4. Deployment: Production deployment guides

📖 Documentation Structure​

This documentation is organized by service and functionality:

  • Shared: Cross-platform documentation and guides
  • DAGGH: Frontend application documentation
  • ML Service: Machine learning and AI service docs
  • API: Complete API reference documentation
  • Documentation Platform: Platform maintenance guides

🎯 Key Features & Capabilities​

  • Real-time Collaboration: Multi-user interactive experiences
  • AI-Powered Intelligence: Advanced algorithms and recommendation systems
  • Modern Tech Stack: Latest frameworks and enterprise-grade architecture
  • Scalable Services: Microservice approach with robust ML pipelines

🚧 Platform Status​

  • ✅ Frontend Applications: Production-ready with core features
  • ✅ ML Services: Enterprise-grade algorithms operational
  • ✅ Documentation: Comprehensive guides and references
  • 🔄 Ongoing: Continuous improvements and feature additions

🤝 Contributing​

Interested in contributing? Check out our Contributing Guide for:

  • Development setup and workflow
  • Code standards and best practices
  • Pull request process
  • Documentation guidelines

Ready to build something amazing? Start with our Project Overview or explore the specific service documentation using the navigation above.