 The study presents a novel technique using finite element analysis, FEA, combined with support vector machine SVM, and k-nearest neighbors, KNN, regression models to improve the accuracy and efficiency of stress distribution forecasts in wind tunnel simulations. The SVM-based model demonstrated the highest accuracy, while the KNN model had the lowest RMSE. The computational efficacy of these models was highlighted, emphasizing their flexibility in stress analysis and potential for advancing aircraft design methodologies and wind tunnel evaluations. This article was authored by Lutfi Al-Hadad, Allah Jaber, Latif Ibrahim, and others.