BLKSAge/panafai-ai-readiness

A peek into Africa's many countries and their relation to being ready for Ai implementation. Countries like France, and companies like Google are entering the market . This serves as data driven nudge for investors. # Panafai: AI Readiness Index ## Project Purpose This project develops an **AI Readiness Index** to evaluate how countries — with a focus on Africa — are positioned to adopt and integrate artificial intelligence. By combining socioeconomic, infrastructure, and governance indicators, the index reveals leaders, late risers, and stagnant/volatile trajectories. ## Indicators - Electricity Access - GDP (PPP) - Government Effectiveness - Internet Access - Literacy Rate - Mobile Subscriptions - Researchers per capita - R&D as % of GDP - Tertiary Enrollment ## Methodology 1. **Data Collection** – World Bank, UNESCO, and UN datasets. 2. **Data Cleaning** – Standardize formats, remove duplicates, handle missing values. 3. **Normalization** – MinMax scaling (0–100) for cross-country comparability. 4. **Composite Index** – Equal-weight and weighted scoring. 5. **Clustering** – KMeans and trajectory-shape clustering to identify patterns. 6. **Visualization** – Time series, heatmaps, PCA/t-SNE, and cluster profiles. ## Modeling - **KMeans clustering** – grouped countries by readiness features. - **Trajectory-shape clustering** – revealed temporal development patterns. - **PCA/t-SNE** – reduced dimensionality and improved visualization. ## Setup For environment setup and dependencies, see Setup Guide. ## Project Workflow 1. 01_DataLoad_Clean – Load and clean datasets 2. 02_Snapshot_EDA – Exploratory Data Analysis 3. 03_Normalize_Scale – Normalization and scaling 4. 04_Scoring_Composite – Composite scoring 5. 05_Visualization_Analysis – Visualizations and insights 6. 06_Clustering_Trajectories – Clustering countries 7. 07_Trajectory_Shape_Clustering – Trajectory pattern analysis ## Deliverables - Jupyter notebooks (01–07) showing the full workflow - Composite scoring outputs (equal-weight and weighted). - Visualizations of country readiness trajectories - Cluster analysis identifying leaders, late risers, and stagnant groups - Extended results documented in: Project Summary …