Demo Project

This placeholder demonstrates an accessible project detail page with complete metadata and content sections following the new Astro-native MDX approach.

Problem Brief

What: Demonstrate the complete project page structure and metadata implementation for the DiazMarquez Labs projects hub.

Why: Provide a reference implementation that showcases all required and optional frontmatter fields, content sections, and accessibility features.

Success Criteria:

• All required frontmatter fields populated
• Complete content sections (Problem, Results, Reproduce, Demo, etc.)
• Accessible design with proper heading hierarchy
• JSON-LD metadata generation
• Mobile-responsive layout

Results

Key Metrics

Achievements

• ✅ Complete frontmatter schema implementation
• ✅ Accessible project card design
• ✅ Mobile-responsive layout
• ✅ JSON-LD metadata integration
• ✅ Proper semantic HTML structure

Reproduce

Prerequisites

• Node.js 18.17.1 or higher
• npm or yarn package manager

Local Development

# Clone the repository
git clone https://github.com/diazmarquez/demo-project

# Install dependencies
npm ci

# Start development server
npm run dev

Docker

# Build and run with Docker
docker run -p 3000:3000 diazmarquez/demo:latest

Colab Notebook

Open in Google Colab

Demo

This project includes an interactive demo showcasing the project structure and components. The demo is embedded using StackBlitz for easy exploration.

Live Demo

• URL: https://demo.diazmarquez.com
• Source: GitHub Repository
• Documentation: API Docs

Changelog

v1.0.0 (2024-01-15)

• Initial release with complete metadata schema
• Accessible project card implementation
• JSON-LD metadata integration
• Mobile-responsive design

v0.2.0 (2024-01-10)

• Added Docker support
• Implemented Colab notebook
• Enhanced documentation

v0.1.0 (2024-01-05)

• Initial prototype
• Basic project structure
• Core component implementation

Cards

Model Card

• Model: DiazMarquez Demo Model
• Architecture: Transformer-based
• Training Data: Demo Dataset (10K samples)
• Performance: 95% accuracy on test set

Dataset Card

• Dataset: Demo Dataset
• Size: 10,000 samples
• Format: JSON Lines
• License: MIT

Evaluation Card

• Metrics: Accuracy, Precision, Recall, F1-Score
• Test Set: 2,000 samples
• Results: See Results section above

In the Wild

Replications

• Community Replication 1
• Research Lab Implementation

Mentions

• Blog Post: “Best Practices for Project Documentation”
• Conference Paper: “Accessible AI Project Presentation”
• Podcast Episode: “Building Better Demo Projects”

Technical Notes

This demo project showcases the complete implementation of the Phase 1 requirements:

• Content Collection: Uses the new projects collection with comprehensive schema
• Frontmatter: All required and optional fields demonstrated
• Content Structure: Complete sections following the specified format
• Accessibility: Proper heading hierarchy and semantic HTML
• Metadata: Ready for JSON-LD generation and SEO optimization

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