AI Data annotator
This project involved preparing high-quality training data through data cleaning, annotation, and feature selection to build an effective machine learning model. Using deep learning techniques for text classification, the workflow included hyperparameter tuning, model evaluation, and performance optimization. The final model delivered high accuracy and performed reliably on real-world data.