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ANNAPURNA: Diet Recommender System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 27 |
| Year of Publication: 2020 |
| Authors: Aditya Nimbalkar, Rahul Samant, Shreyash Mahajan, Rajat Tapdiya, Pranita Dapke |
10.5120/ijca2020920272
|
Aditya Nimbalkar, Rahul Samant, Shreyash Mahajan, Rajat Tapdiya, Pranita Dapke . ANNAPURNA: Diet Recommender System. International Journal of Computer Applications. 176, 27 ( Jun 2020), 8-11. DOI=10.5120/ijca2020920272
Abstract
Grains, non-veg protein sources, vegetables, and fruits are key parts of a good varied diet. They are emphasized in this guideline because they provide vitamins, minerals, complex carbohydrates, proteins, fats, and other substances that are important for good health. They are also generally low in fat (good fats), depending on how they are prepared and what is added to them at the table [2]. Thus a recommender system that recommends a good and balanced diet for achieving fitness goals like weight gain or muscle gaining, say fat burning and weight maintenance
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