The content plan for the web-based mobile application group will be prepared with technical support as specified. Patients will be able to log in to the mobile application with a username and password that will be defined specifically for them. Patients will be informed about how the website is used during the first meeting. They will be able to access all the information they need about diabetes with the web-based mobile application. Statistical data such as the frequency of individuals visiting the site, which sections they use more often and how much time they spend will be calculated.

It is aimed that an artificial intelligence-based mobile application that includes information, nutrition, exercise programs, complications and medication tracking, personalized suggestions, alarms and reminders, which will enable diabetic individuals to follow their glucose targets, support patients in their diabetes education, awareness and disease management to continue more actively. In addition, it is aimed that patients can easily access information, prevent acute and chronic complications, present physical activity and nutrition suggestions in accordance with the person's lifestyle, follow up on medications with alarms and reminders, prevent the negative results of complications in advance, and improve individuals' diabetes-specific knowledge levels, compliance with treatment, self-management and care with information and guidance about foot care to reduce the risk of diabetic feet, which is particularly risky for diabetic patients.

No intervention will be applied to the control group, and they will receive routine clinical and outpatient training.

It is aimed that an artificial intelligence-based mobile application that includes information, nutrition, exercise programs, complications and medication tracking, personalized suggestions, alarms and reminders, which will enable diabetic individuals to follow their glucose targets, support patients in their diabetes education, awareness and disease management to continue more actively. In addition, it is aimed that patients can easily access information, prevent acute and chronic complications, present physical activity and nutrition suggestions in accordance with the person's lifestyle, follow up on medications with alarms and reminders, prevent the negative results of complications in advance, and improve individuals' diabetes-specific knowledge levels, compliance with treatment, self-management and care with information and guidance about foot care to reduce the risk of diabetic feet, which is particularly risky for diabetic patients.

Diabetes Self-Management Scale (DSMS): This scale was used to measure the behavioral component of individuals in the IMB model. This scale was developed by Schmitt et al. (2013) to examine the relationship between diabetes self-management and glycemic control in diabetic patients (Schmitt et al., 2013). The validity and reliability study of the Turkish Diabetes Self-Management Scale (DSMS) was conducted by Eroğlu and Sabuncu (2018) (Eroğlu and Sabuncu, 2018). The scale consists of 16 items and 4 sub-dimensions and is a 4-point Likert-type. The scale is answered as 3. It suits me very much, 2. It suits me a lot, 1. It suits me a little, 0. It does not suit me at all. Glucose Management subdimension: Items 1, 4, 6, 10, 12 (Items 4 and 12 are about medication use, items 1, 6, and 10 are about blood sugar monitoring). Diet Control subdimension: Items 2, 5, 9, 13. Physical Activity subdimension: Items 8, 11, 15. Use of Health Services subdimension: Items 3, 7, and 14. Item 16 is not includ

Adult diabetes knowledge scale (ADSL): This scale was developed by Erenel Yavuz and Erol (2022) to measure the knowledge levels of adult individuals with diabetes (Erenel Yavuz and Erol, 2022). The scale consists of 5 sub-dimensions and 28 items: General Information About Diabetes (6 items), Blood Sugar Measurements and Values (5 items), Diabetes Risk Factors (4 items), Diabetes Symptoms (8 items), Diabetes Complications (5 items). The scale consists of two sets of items as true and false. Those who answer correctly in the yes/no/I don't know answer type questions are given 1 point, and those who don't know and those who answer incorrectly are given 0 points. The maximum score that can be obtained from the scale is 28, and the minimum score is 0. The Kuder-Richardson-20 reliability coefficient for the entire scale was found to be 0.94. Alpha values in the sub-dimensions are; General Information About Diabetes was found as 0.78, Blood Sugar Measurements and Values as 0.85, Diabet