Fuzzy based approach for diet prediction
Arushi Singh, Nandini Kashyap, Rakesh Kumar Garg · 2019
In the current era, people are too busy to think about what they are eating and its effects on their health. Over the years there has been an accretion of such diseases due to the loss of nutrition owing to unhealthy diet followed on an everyday basis and motionless life. In this work a method is devised for creating a proper diet plan for people of each age group using data collected from many different sources. A diet list will be proposed to the user by calculating the necessary amount of carbohydrates, vitamins and minerals, milk protein, meat protein, fat and sugar according to the age group they fall in. Fuzzy logic is many-valued logic in which there are various input and output along with the member function. The work will propose a fuzzy logic technique which shows the accurately balanced diet for each age group.