- Introduced `DatabaseOperations` class for managing batch results in the database.
- Added functionality to create a batch results table and save batch processing results.
- Updated API endpoints to log execution time and handle batch processing errors more effectively.
- Improved response handling in analysis endpoints and added batch metadata to results.
- Suppressed warnings and improved logging throughout the application.
- Added new model and scaler files to .gitignore and output directory.
- Updated Dockerfile to create output/models directory.
- Revised README to include instructions for using a .env file for configuration.
- Enhanced config.py to load database credentials from environment variables.
- Implemented model saving functionality in salary_predictor.py for consistent and inconsistent earners.
Joshua Salako