Mental stress became a social problem and may contribute to functional impairment at regular job. Chronic stress may also be a factor in a number of psychophysiological illnesses. Stress, for instance, raises the risk of heart attack, stroke, and depression. According to the most recent research in neuroscience, brain is the ultimate target of the stress since how the brain perceives a situation affects how harmful and stressful it is. In this situation, a measurement that is objective and takes into account the human brain could greatly reduce the negative impacts of the stress. A machine learning (ML) framework using the ECG and EMG of participants who are stressed is therefore suggested. The task performance and subjective feedback supported the induction of stress. The framework for suggested ML included feature selection, extraction, and classification The findings demonstrated that the suggested framework increased the accuracy of stress recognition. The suggested approach may contribute to the creation of the computer-aided diagnostic tool for stress prediction.