A Personalized Diet Recommendation System using Fuzzy Ontology
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 3
Abstract
In today’s hectic world, the importance of diet management has increased exponentially. Due to unhealthy and haphazard eating habits, the spread of diet related diseases is at an all-time high. In India, more than 2 out of every 100 people suffer from diabetes, while 32 out of every 100 people suffer from coronary heart disease. In Urban Areas, the prevalence of these diseases is even more. There are a host of diet related applications and solutions available today. While the importance of balanced diet keeps on increasing, the variety of applications on display today still lack completeness. In this paper, we have reviewed various existing papers and found out the lacunas in the existing systems. In our proposed system, we are using fuzzy ontology, rule-based reasoning, artificial bee colony algorithm and genetic algorithm for suggesting nutrients diet and recipes based on the suggested diet plan. We also take seasonal availability of food available in India and preexisting conditions of the users of the system
Authors and Affiliations
Madhu Raut, Keyur Prabhu, Rachita Fatehpuria, Shubham Bangar, Prof. Sunita Sahu
Keywords
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