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asmaachouai/ai-recruitment-africa-eda

Domaine:

socioeconomic
Créateur:
asm
Hôte:
This project explores unemployment trends in Morocco and selected African countries using data from the World Bank to understand how labor market conditions influence recruitment practices. # AI in Recruitment in Morocco & Francophone Africa – EDA Project ## 📌 Project Overview This project performs an exploratory data analysis (EDA) on unemployment data from African countries to understand how labor market conditions influence the adoption and impact of AI in recruitment. As unemployment increases, organizations face higher volumes of job applicants, which often leads to the adoption of AI-driven recruitment tools such as Applicant Tracking Systems (ATS). This project connects data analysis with real-world challenges of fairness, bias, and efficiency in AI-powered hiring systems. --- ## 🎯 Objectives - Analyze unemployment trends across Morocco and selected African countries - Identify patterns in job market pressure and competition - Understand how these patterns relate to the use of AI in recruitment - Highlight potential risks of bias and inequality in automated hiring systems --- ## 📊 Dataset - Source: World Bank (Unemployment Rate Indicator) - File used: `API_SL.UEM.TOTL.ZS_DS2_en_csv_v2_36.csv` - Data includes unemployment rates (%) across countries and years --- ## ⚙️ Tools & Technologies - Python - Google Colab - Pandas - NumPy - Matplotlib - Seaborn --- ## 🧹 Data Processing Steps - Loaded dataset using Pandas - Explored data using: - `.shape` - `.info()` - `.describe()` - Cleaned data: - Removed duplicates - Handled missing values - Converted data types - Transformed dataset using `melt()` for analysis --- ## 📈 Visualizations The project includes 5 key visualizations: 1. Histogram – Distribution of unemployment rates 2. Scatter Plot – Unemployment trends over time 3. Bar Chart – Average unemployment by country 4. Box Plot – Distribution comparison across countries 5. Correlation Heatmap – Relationship between variables --- ## 🔍 Key Insights - Unemployment varies significantly across African countries - Some countries experience consistently higher job market pressure - The relationship between time and unemployment is weak, indica …

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