Data annotation
Audio
Text Generationproject involved preparing and annotating datasets to support the development of a machine learning model for automated content classification. The scope included collecting raw data (text and images), cleaning it by removing irrelevant or duplicate entries, and organizing it into structured formats. The main task was to label each data item according to predefined categories such as topic relevance, sentiment, or object identification. The work also involved quality checking to ensure accuracy and consistency across all labelled data. Any errors or unclear cases were reviewed and corrected based on the project guidelines.
2020 - 2025