Babji-1/Job-lens-Africa

# 🌍 Job-lens - An African employment trend and forecasting platform. ## Project Description Job-lens is a data-driven solution developed to analyze historical employment trends across African countries and forecast future employment patterns . The platform transforms labour market data into interactive visualizations and predictive insights to support evidence-based decision-making for policymakers, researchers, investors, and job seekers. --- # Dataset **Dataset Name:** ILOSTAT Employment by Economic Activity Dataset **Source:** Hugging Face **Dataset Size:** | Metric | Value | |--------|------:| | Records | 39,600+ | | Countries | Multiple African Countries | | Time Period | Multiple Years | | Variables | Employment, Economic Activity, Gender, Employment Type, Country, Year | **Key Features** - Country - Year - Economic Activity (ISIC Rev.4) - Employment Type (Formal / Informal) - Gender - Number of Employees (Thousands) - Data Quality Indicators --- # Exploratory Data Analysis: * Service provisions have employed the highest number of people * Under the minor sector, agriculture individually has the highest number of employees. * Over time, service provision has been generally employing a higher workforce gradually. --- # Tech Stack - Python 3 - Pandas - NumPy - Matplotlib - Seaborn - Plotly - Scikit-LLearn - Prophet - Streamlit --- # How to Run 1. Clone the repository. ```bash git clone github.com ``` 2. Navigate into the project folder. ```bash cd labourlens ``` 3. Install the required packages. ```bash pip install -r requirements.txt ``` 4. Launch the Streamlit application. ```bash streamlit run app.py ``` 5. Explore employment trends, interactive dashboards, and employment forecasts across African countries. --- # Key Findings - Services and agriculture account for the largest share of employment across many African economies. - Informal employment is the more significantly rising employment secto …