I have complete datasets for both white and red wines and I need an artificial neural network that can predict their quality scores with solid accuracy. I will share the CSV files immediately, each already cleaned and labeled with the standard physicochemical features (pH, sulphates, alcohol, etc.) plus the integer quality rating. Your job is to: • build and train an ANN—preferably in Python using TensorFlow / Keras or PyTorch—optimising hyper-parameters to minimise MAE or RMSE • validate it with a held-out test set and supply clear metrics and a brief interpretation of the results • hand over a runnable notebook or .py script, the trained model weights, and a concise README explaining setup and usage A quick turnaround is crucial; I’m looking to review a first working model as soon as possible. If you have demonstrable experience delivering similar machine-learning pipelines, please let me know so we can get started right away.