Study aim: Determining the effectiveness of mindfulness-based stress reduction counseling through artificial intelligence on anxiety and pain caused by primary dysmenorrhea Design: The study includes an intervention group and a control group, which are determined through block randomization. The intervention group will undergo mindfulness-based stress reduction counseling through artificial intelligence. The sample size in this study is 66 people for each group. Settings and conduct: The target population of this study is students of Kerman University of Medical Sciences living in the dormitory. In the intervention group, mindfulness counseling will be provided for 8 sessions in the form of photos, clips, and podcasts through artificial intelligence. In this study, an application will be designed that consists of two parts, the first part provides educational content and mindfulness counseling exercises, and the second part acts as a virtual coach through which the individual can ask their questions and get answers or receive guidance regarding the counseling program. Participants/Inclusion and exclusion criteria: Students studying at Kerman University of Medical Sciences, aged 18-35 years, no known physical or mental illness or use of anti-stress, anxiety and depression medications (according to the participant's statement), no known chronic pelvic disease (according to the participant's statement), no surgery in the past 3 months, no use of birth control pills, painkillers and other herbal medicines, as well as relaxation or acupressure to relieve primary dysmenorrhea, onset of dysmenorrhea before the age of 20 and regular menstrual cycles with intervals of 21-35 days, mild to moderate pain intensity with a score of 4 to 8. Intervention groups: Students studying at Kerman University of Medical Sciences, age 18-35 years Main outcome variables: Anxiety reduction Pain reduction