The Job Market Analyzer project is designed to leverage AI and Natural Language Processing (NLP) techniques to analyze job descriptions and extract meaningful insights regarding job requirements, essential skills, and salary trends. This initiative aims to replicate a detailed analysis of over 1 million job descriptions sourced from multiple platforms, offering a data-driven perspective on the job market for data professionals.
The project is structured into several modules, each dedicated to specific components of the analysis:
- src/: Contains the core source code for data collection, processing, AI analysis, statistical analysis, and visualization.
- data_collection/: Handles the scraping of job descriptions from various job platforms.
- data_processing/: Focuses on processing the scraped data, including text normalization and skill extraction.
- ai_analysis/: Implements AI-driven analysis to classify skills and categorize job requirements.
- statistical_analysis/: Conducts statistical evaluations to identify trends and correlations in the job data.
- visualization/: Generates visual representations of the analysis results, including charts and dashboards.
To set up the project, follow these steps:
-
Clone the Repository:
git clone <repository-url> cd job-market-analyzer -
Install Dependencies: Ensure you have Python installed, then run:
pip install -r requirements.txt -
Configure API Keys: Update the
.envfile with your API keys and other necessary configurations. -
Run the Application: Execute the main script to start the analysis:
python src/main.py
Contributions are welcome! Please submit a pull request or open an issue for any enhancements or bug fixes.
This project is licensed under the MIT License. See the LICENSE file for more details.