kevshakes/african-ai-strategies-portal

🌍 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. # 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. ## 🌍 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 ## 🚀 Quick Start ### Prerequisites - Python 3.8+ - Node.js 14+ (for frontend dependencies) - Modern web browser ### Installation 1. **Clone and setup**: ```bash cd african-ai-strategies-portal pip install -r requirements.txt ``` 2. **Initialize data**: ```bash python src/data_collector.py ``` 3. **Run the application**: ```bash python app.py ``` 4. **Access the portal**: Open localhost in your browser ## 📊 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 ## 🏗️ Architecture ``` african-ai-strategies-portal/ ├── app.py # Main Flask application ├── src/ │ ├── data_collector.py # Data collection and processing │ ├── analyzer.py # Cross-cutting analysis engine │ ├── …