Good dieting is assumed as a basic need in our day-to-day life. Having a good diet is a basic need in our day-to-day life. It's crucial in preventing and managing problems, for example diabetes, hypertension, malignant growth, psychological illness, asthma, and so on. Specifically, for young and children, the selection of sound dietary propensities has been demonstrated to be advantageous to the early psychological turn of events. However, at some point, people go after an inconsistency in food choices. People may help find a healthy food choice. However, it is often difficult for them to suggest a non-repetitive diet. On the other hand, people often feel bored with the repetitiveness of the foods. Thus, there is always a need for personalized dietary assistance that chooses healthy foods according to a person’s customized tastes. Consequently, the personalized healthful meal recommendation is receiving much attention in the research community. Some mobile applications, web-based applications have been developed in recent years to suggest healthier food. Most of those systems use rule-based approaches. Nevertheless, it is nearly impossible to integrate the arbitrary nature of users’ tastes and food items in a rule-based system. According to the user's choice, we have implemented an intelligent algorithm to classify the diabetic risky foods. Experiment shows that our classifier has an accuracy of 83%. On the other hand, 87% of users are satisfied with the recommended food they are looking for.