In this paper, an machine-learning-based technique is introduced to predict the performance of a V-band 1D array antenna based on its design specifications working at the V-band frequency range. An Artificial Neural Network (ANN) is built with four input and one output dataset to efficiently design, train, and predict the V-band 1D array antenna design. The developed ANN models achieves a regression coefficient at a range between 0.98-1 with good prediction accuracy.