The present study aims to use machine learning algorithms to predict diagnoses of stress, anxiety and depression as the most common psychiatric disorders, using the dataset collected as part of this work. The dataset consisted of approximately 700 records using an online survey, which was based on the Depression, Anxiety and Stress International Scale (DASS21). The data was collected from Palestinian community participants and university students. To ensure the effectiveness of applying artificial intelligence algorithms, the data was processed before analyzing it.