Food recommender
Deep Learning approach for predicting daily diet based on body prakriti
Keywords:
prakriti, season, healthy body, deep learning, diet, food recommendationAbstract
Daily diet plays crucial role in maintaining human body healthy. A healthy diet protects us from diseases such as obesity, diabetes, cancer and heart disease. According to Ayurveda, body is made up of aakash, jala, prithvi, teja, and vayu. Combination of these five elements decides the body prakriti called as doshas i.e. Vaat, pitta, and kapha. Human body has a unique proportion of these doshas and it is decided at the time of birth. Depending upon which dosha present in more quantity human body will be either Vata, pitta or kapha. Imbalance in these doshas leads to illness and different diseases. This can be avoided by following diet based on body prakriti. The proposed system uses deep learning and knowledge of suitable diet based on body prakriti as per the different season to recommend best possible diet chart.
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A Recommender System for Healthy Food Choices: Building a Hybrid Model for Recipe Recommendations using Big Data Sets – Pallavi Chavan, Brian Thoms, Jason Isaacs,HICSS- Jan 2021
Personalized food recommendation using Deep Neural Network- Tossawat Mokdara , Priyakorn Pusawiro , Jaturon Harnsomburana -IEEE-2018
Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model- Celestine Iwendi ,Suleman Khan,Joseph Henry, Ali Kasif Bashir, Fazal Noor -IEEE Access- Feb 2020
A Comparison of Several Approaches for Image Recognition used in Food Recommendation System- Quang-Linh Tran , Gia-Huy Lam , Quang-Nhat Le , Trung-Hieu Tran , Trong-Hop Do -July 2021
Food Nutritional Detection, Visualization and Recommendation for Health Monitoring using Image Processing- Rutuja Rewane, P. M. Chouragade- IEEE-2019
Diet Recommendation based on Prakriti and Season using Fuzzy Ontology and Type-2 Fuzzy Logic Shital V. Chavan , S. S. Sambare , Dr. Aniruddha Joshi- IEEE-Feb 2017
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