🌐 Vision 2030 AI Readiness Framework

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://your-app.streamlit.app) [![Python 3.10+](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://python.org) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) [![Research](https://img.shields.io/badge/Research-MIS%20%7C%20AI%20Strategy-orange.svg)](#) [![Vision 2030](https://img.shields.io/badge/Aligned-Saudi%20Vision%202030-006c35.svg)](#) **A Multi-Dimensional Assessment Model for Digital Economy Transformation** *Aligned with Saudi Vision 2030 · GCC Digital Agenda · UN SDG 9*

📋 Abstract

The Vision 2030 AI Readiness Framework (V2030-ARF) is an open-source, multi-dimensional assessment model designed to evaluate and benchmark national artificial intelligence readiness levels against the strategic objectives of Saudi Vision 2030 and broader GCC digital transformation agendas.

The framework synthesizes five core pillars into a weighted composite readiness index:

Pillar	Key Indicators
🔌 Digital Infrastructure	Broadband penetration, cloud adoption, ICT investment
🎓 Human Capital & Talent	STEM graduates, AI talent index, digital skills
⚖️ AI Governance & Policy	Policy maturity, data protection, cybersecurity
🚀 Innovation Ecosystem	R&D expenditure, startup density, patent applications
📊 Data Economy	Open data availability, big data adoption, IoT deployment

🎯 Research Objectives

Develop a reproducible, open-source AI readiness index aligned with Vision 2030 KPIs
Enable cross-national comparison across 10+ countries using World Bank, WEF, and ITU data
Generate evidence-based policy recommendations for bridging the AI readiness gap
Provide an interactive tool for policymakers, researchers, and development organizations

🚀 Live Demo

🌐 Open Interactive Dashboard →

📊 Framework Architecture

V2030-ARF Score = Σ(wᵢ × Pᵢ), where Σwᵢ = 1.0, 0 ≤ Pᵢ ≤ 100

Pillar Score (Pᵢ) = Mean(normalized sub-indicators)
Default Weights: 0.20 per pillar (fully adjustable via dashboard)

Sub-Indicator Sources

World Bank — World Development Indicators (WDI)
World Economic Forum — Global Competitiveness Report 2023
ITU — ICT Development Index 2023
Oxford Insights — Government AI Readiness Index 2023
OECD — AI Policy Observatory

🗂️ Project Structure

Vision2030-AI-Readiness-Framework/
│
├── app.py                      # Main Streamlit application
├── requirements.txt            # Python dependencies
├── README.md                   # Project documentation
│
├── models/
│   ├── __init__.py
│   ├── scoring.py              # Composite index computation
│   └── readiness_engine.py     # Recommendations & trend engine
│
├── data/
│   ├── __init__.py
│   └── countries_data.py       # 10-country normalized dataset
│
├── research/
│   └── V2030_ARF_Research_Paper.md   # Full academic paper
│
└── assets/
    └── screenshots/            # Dashboard screenshots

⚙️ Installation & Local Setup

# 1. Clone the repository
git clone https://github.com/YOUR_USERNAME/Vision2030-AI-Readiness-Framework.git
cd Vision2030-AI-Readiness-Framework

# 2. Create virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Run the application
streamlit run app.py

App will open at http://localhost:8501

🌍 Countries Included (v1.0)

Saudi Arabia · UAE · Singapore · South Korea · Germany · United States · Malaysia · Egypt · Morocco · Algeria

📈 Key Features

Interactive Radar Charts — Visualize pillar-by-pillar readiness profiles
Global Comparison Heatmaps — Cross-national benchmarking across 10 nations
AI-Generated Policy Recommendations — Prioritized by gap severity
Implementation Roadmaps — Projected score improvements over 5-year horizons
Adjustable Pillar Weights — Sensitivity analysis for different policy priorities
Embedded Research Report — Full academic paper with Literature Review, Methodology, Results

📄 Research Paper

The full academic paper is available in research/V2030_ARF_Research_Paper.md.

Citation (APA):

Boukhalfa, F. A. (2026). Vision 2030 AI Readiness Framework: A Multi-Dimensional 
Assessment Model for Digital Economy Transformation in Emerging Economies. 
USTHB, Algiers, Algeria. GitHub: https://github.com/YOUR_USERNAME/Vision2030-AI-Readiness-Framework