Decision Support System Involving Traditional Food Recipes Based on Machine Learning
Currently the consumption of food by the people has changed a lot. Because of several advancements due to enormous growth in technology, people has changed their food habits consumption. The upcoming generation will suffer a lot because of this problem. This situation will be avoided, if traditional food items come into existence. Traditional food items will give a better improvement in health when compared with consumption in tablets. Each disease is listed along with several details such as the tablets for each disease, its side effects and equivalent traditional food items for curing each and every disease. When traditional food items are properly consumed, side effects caused by the disease will be reduced to a considered amount. For these reasons traditional food items are consumed in-order to recover from the side effects caused by several diseases. Here the concept of machine learning is employed to make predictions based on the improvement percentage. Here it deals with providing details of traditional food items and its benefits. Each and every food item provides several medicinal values which lead to a healthy life. Then the disease details and the cause for the disease is provided. Then tablets to cure the disease is provided. As some tablets have several side effects, its corresponding traditional food items are provided, so the users can select the food items to cure the disease which affected them. Then machine learning is employed to predict the improvement factor when consuming traditional food item rather than taking tablets.
Author Name: K.P. Ragavi and B.G. Geetha
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College: K.S. Rangasamy College of Technology, Tiruchengode