
Worked on stabilizing the data pipeline in the DataScience-ArtificialIntelligence/OOPsJava repository by addressing a critical bug related to file management and refactoring. Focused on updating the input data path to align with a new naming convention, ensuring the program correctly reads from facebook_combined.txt. This targeted Java fix restored reliable data ingestion and reduced downstream analysis errors, directly supporting the module’s core reliability. No new features were introduced during this period, as the primary goal was to maintain code quality and prepare the codebase for future enhancements. The work demonstrated careful attention to minimal-risk changes within an evolving project structure.
This month focused on stabilizing the data pipeline in DataScience-ArtificialIntelligence/OOPsJava by fixing the input data path after a naming-convention refactor. The fix ensures the program reads data from facebook_combined.txt, restoring reliable data ingestion and preventing downstream errors during analyses. No new user-facing features were released this month; the work strengthens core reliability and paves the way for feature enhancements in the next cycle.
This month focused on stabilizing the data pipeline in DataScience-ArtificialIntelligence/OOPsJava by fixing the input data path after a naming-convention refactor. The fix ensures the program reads data from facebook_combined.txt, restoring reliable data ingestion and preventing downstream errors during analyses. No new user-facing features were released this month; the work strengthens core reliability and paves the way for feature enhancements in the next cycle.

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