Artificial Dietitian |
Author(s): |
Vinitkumar Hareshbhai Jogani , Parul Institute of Technology; Keyur Nitinbhai Faldu, Parul Institute of Technology; Rahul Champakbhai Joshi, Parul Institute of Technology; Prince Babubhai Kakadiya, Parul Institute of Technology |
Keywords: |
Expert system, benefits, knowledge, artificial dietitian |
Abstract |
In todays lifestyle, people are moving towards achieving a fit and healthy body. This shift has changed the way of living in almost every household. Now everyone craves for healthy and nutritious food to be placed on their plates. Hence, healthy eating and nutritious food have become an essential part of everyones lifestyle to achieve a balanced and healthy life in such busy and hectic environment. Hence, to make their fitness path a bit smoother and to enhance their experience, I have created an Android [Personal Dietician] application to provide a broader approach in providing a better living through nutritious and fit diet plan to the users. In this project, the Personal Dietitian android application will use food ontology APIs, which is a part of knowledge representation and semantic web technology to produce diet plans for the users. Additionally, the app will provide an activity tracker which will track the steps walk, climb, and run by the user. The activity tracker is built using an API which uses accelerometer and gyroscope sensors built into the Android device. The application will start by signing up or logging the user with the Personal Dietitian application. The signup and login screen which will be useful to the user to manage their activities in the application. The application provides four main user functionalities, namely, the activity tracker, meal planner, reports, and healthblog. |
Other Details |
Paper ID: IJSRDV8I20292 Published in: Volume : 8, Issue : 2 Publication Date: 01/05/2020 Page(s): 28-30 |
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