- Implemented grouped AND/OR logic for keyword searches, allowing for more flexible job matching criteria.
- Added a minimum date filter to restrict job results to postings after a specified date.
- Enhanced job detail extraction to include role duties and job requirements from job descriptions.
- Updated README with new command line options and examples for using date filters and keyword logic.
- Improved logging to provide clearer insights into keyword matching logic and job search parameters.
- Updated `ai-utils.js` to improve AI response parsing and added timeout handling for API requests.
- Modified `linkedin-parser` to refine search keyword handling and improve post extraction reliability.
- Enhanced location filtering logic and added more robust selectors for extracting post data.
- Improved logging for debugging purposes, including detailed extraction results and fallback mechanisms.
- Created core modules: `ai-analyzer`, `core-parser`, and `job-search-parser`.
- Implemented LinkedIn and job search parsers with integrated AI analysis.
- Added CLI tools for AI analysis and job parsing.
- Included comprehensive README files for each module detailing usage and features.
- Established a `.gitignore` file to exclude unnecessary files.
- Introduced sample data for testing and demonstration purposes.
- Set up package.json files for dependency management across modules.
- Implemented logging and error handling utilities for better debugging and user feedback.
