Unsolvedstar/The-South-African-Youth-Skills-Gap-Analyzer

# The South African Youth Skills Gap Analyzer This project analyzes synthetic data inspired by StatsSA and healthsites.io to identify critical mismatches between the skills that South African youth have and the actual demands of the job market. ## 🚀 Objective To uncover: - Provinces most affected by youth unemployment - Skills that are in high demand but remain undersupplied - Opportunities for targeted training and education programs ## 🧰 Tools & Technologies - Python (pandas, matplotlib, seaborn) - Jupyter Notebook - Data visualization - Synthetic dataset generation ## 📊 Key Features - Heatmaps to show skill mismatch by province - Bar charts highlighting critical skills with high demand and low supply - Analysis of unemployment rates tied to skill profiles ## 🔍 Key Insights - Youth in provinces like Limpopo and Eastern Cape face higher unemployment where high-demand skills like IT support, data entry, and electrical work are undersupplied. - There is a strong need for skills development in areas like digital literacy, financial literacy, and basic computing. ## 📂 Project Structure