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🌍 Interactive web portal for analyzing National AI Strategies across African countries. Features mind maps, cross-cutting analysis, collaboration tools, and data visualizations. Built with Flask, D3.js, and Bootstrap.

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African AI Strategies Portal

An interactive web-based portal that provides comprehensive insights into National Artificial Intelligence Strategies across African countries. Features include mind maps, key highlights, cross-cutting analysis, and comparative views of AI initiatives.

Python Flask License

🌍 Features

Core Functionality

  • Interactive Mind Maps: Visual representation of each country's AI strategy
  • Key Highlights Dashboard: Summary of main objectives and initiatives
  • Cross-Cutting Analysis: Identify common themes and approaches across countries
  • Comparative View: Side-by-side comparison of different strategies
  • Search & Filter: Find specific topics, countries, or initiatives
  • Export Capabilities: Generate reports and visualizations

Visualization Features

  • Network Graphs: Show relationships between countries and initiatives
  • Timeline Views: Track development of AI strategies over time
  • Geographic Maps: Interactive map showing AI readiness across Africa
  • Thematic Clustering: Group similar initiatives and approaches

πŸš€ Quick Start

Prerequisites

  • Python 3.8+
  • Node.js 14+ (for frontend dependencies)
  • Modern web browser

Installation

  1. Clone and setup:

    cd african-ai-strategies-portal
    pip install -r requirements.txt
  2. Initialize data:

    python src/data_collector.py
  3. Run the application:

    python app.py
  4. Access the portal: Open http://localhost:5000 in your browser

πŸ“Š Data Sources

The portal aggregates data from:

  • Official government AI strategy documents
  • Policy papers and white papers
  • International organization reports (AU, UN, World Bank)
  • Academic research and analysis
  • News and media coverage

πŸ—οΈ Architecture

african-ai-strategies-portal/
β”œβ”€β”€ app.py                 # Main Flask application
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ data_collector.py  # Data collection and processing
β”‚   β”œβ”€β”€ analyzer.py        # Cross-cutting analysis engine
β”‚   β”œβ”€β”€ visualizer.py      # Chart and graph generation
β”‚   └── models.py          # Data models and schemas
β”œβ”€β”€ data/
β”‚   β”œβ”€β”€ raw/              # Original strategy documents
β”‚   β”œβ”€β”€ processed/        # Cleaned and structured data
β”‚   └── analysis/         # Analysis results and insights
β”œβ”€β”€ static/
β”‚   β”œβ”€β”€ css/              # Stylesheets
β”‚   β”œβ”€β”€ js/               # JavaScript for interactivity
β”‚   └── images/           # Assets and icons
β”œβ”€β”€ templates/            # HTML templates
└── docs/                 # Documentation

🎯 Countries Covered

Currently tracking AI strategies from:

  • πŸ‡ΏπŸ‡¦ South Africa
  • πŸ‡³πŸ‡¬ Nigeria
  • πŸ‡°πŸ‡ͺ Kenya
  • πŸ‡ͺπŸ‡¬ Egypt
  • πŸ‡²πŸ‡¦ Morocco
  • πŸ‡ΉπŸ‡³ Tunisia
  • πŸ‡¬πŸ‡­ Ghana
  • πŸ‡·πŸ‡Ό Rwanda
  • πŸ‡ͺπŸ‡Ή Ethiopia
  • πŸ‡ΊπŸ‡¬ Uganda

More countries added as strategies are published

πŸ” Key Analysis Areas

Strategic Themes

  • Digital transformation priorities
  • Economic development goals
  • Education and skills development
  • Healthcare and agriculture applications
  • Governance and ethics frameworks

Cross-Cutting Issues

  • Regional cooperation initiatives
  • Common challenges and barriers
  • Shared opportunities and synergies
  • Best practices and lessons learned

πŸ› οΈ Technology Stack

  • Backend: Python, Flask, SQLAlchemy
  • Frontend: HTML5, CSS3, JavaScript, D3.js
  • Data Processing: Pandas, NumPy, NLTK
  • Visualization: D3.js, Chart.js, Plotly
  • Database: SQLite (development), PostgreSQL (production)

πŸ“ˆ Usage Examples

Mind Map Navigation

// Interactive exploration of strategy components
portal.mindMap.focusCountry('Kenya');
portal.mindMap.highlightTheme('Digital Economy');

Cross-Cutting Analysis

# Find common initiatives across countries
analyzer = CrossCuttingAnalyzer()
common_themes = analyzer.find_common_themes(['Kenya', 'Nigeria', 'South Africa'])

🀝 Contributing

We welcome contributions! Areas where you can help:

  • Data Collection: Add new countries or update existing strategies
  • Analysis: Develop new analytical frameworks
  • Visualization: Create new chart types or interactive features
  • Documentation: Improve guides and examples

πŸ“ License

MIT License - see LICENSE file for details.

πŸ™ Acknowledgments

  • African Union Commission for policy guidance
  • Individual country governments for strategy documents
  • Research institutions and think tanks
  • Open source community for tools and libraries

🌍 Explore Africa's AI Future - One Strategy at a Time 🌍

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🌍 Interactive web portal for analyzing National AI Strategies across African countries. Features mind maps, cross-cutting analysis, collaboration tools, and data visualizations. Built with Flask, D3.js, and Bootstrap.

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