Abstract:
Day by day machine learning is getting its prominence. Recommending something using
machine learning is a popular area for enthusiastic researchers. The recommendation system is
getting more precise as days go by. In the medical industry, a recommendation system is being
used vastly to recommend a good diet. A recommendation system would be a useful tool if we
can make it for diabetes patients. As diabetes patients need to follow diet plans and work out
strictly. Diabetes patients need to control blood sugar in his or her bloodstream to stay healthy.
Using machine learning for recommend food and workout plan is an effort to make a precise
recommendation system for Bangladeshi diabetes patients. Various classification algorithm is
being used in this system to detect diabetes risk of the user as per his or her input. Such as,
Decision tree, Naive Bayes and Support vector machine. After classify the diabetes risk the
system will suggest some best diet plan and workout routine by query selection method.
