During September 2025, the developer built a model data preview and metrics feature for the ISE-UET-AutoML/frontend repository, focusing on improving model visibility and streamlining operational decisions. Using React and JavaScript, they designed an interactive frontend component that displays sample data, key metrics, model size, and model name, along with actionable options for deployment, download, and retraining. The implementation included an expandable metadata section and a detailed metrics table, providing users with a comprehensive overview of model characteristics. This work enhanced the user workflow by reducing manual inspection time and enabling faster, more informed decisions for model evaluation and management.