Health and Taste-aware Personalized Computer-aided Dietary Recommender System

The health-aware personalized computer-aided dietary recommender system aims to assist the users in daily diet selections based on nutrition guidelines. The main goal of this project is to develop a food ontology and recommender system which will put user’s diet on autopilot. The system will use Body Mass Index (BMI), Basal Metabolic Rate (BMR), Physical Activity Level (PAL), Body fat as well as user’s preference, diet type and weight goal to recommend dietary.

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