Food and Fitness Using Machine Learning
J. Sivapriya1, Soumen Mukherjee2
1J.Sivapriya, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Soumen Mukherjee Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1182-1186 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6599048419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The importance of informational databases is extremely thought of as major health issues for overwhelming majority of individuals widespread. this text illustrates totally different databases and their significance for food shoppers. Evaluation of food and nutrient accessibility and intakes in populations need food composition knowledge for public health functions. it’s necessary to produce thorough knowledge on the market for users worldwide as this improves perceptibly the public’s health. The main focus are going to be to assist the user reach his hot goal supported his BMI worth. It provides fitness tips and conjointly the hot values of each instruction. This fashion the users will management their diet and keep healthy and match. We have a tendency to are exploitation mil in USDA info contains data concerning Food Guide Pyramid, U.S. Dietary pointers, Food and Dietary Intake Statistics, Food help Programs, Food Safety and Recall data, Food Composition info to allow higher response
Keywords: BMI,ML,USDA Database, Dietary Supplement
Scope of the Article: Machine Learning