also create a front page where i can add names and IDs

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This project focuses on standardizing wine quality assessment to enhance speed, consistency, and efficiency. It employs a comprehensive data science workflow, profiling chemical features and utilizing regression and ensemble models for analysis. Evaluation metrics such as MAE, MSE, RMSE, and R² will be used to assess model performance, while SHAP feature importance will explain predictions. The deployment phase will leverage FastAPI and IBM Cloud, integrating sensor data for real-time insights.