Abstract
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 health blog. (1) The Activity Tracker is used for tracking the user steps including the walking, running and stairs time along with the total step taken in a day. (2) The Meal planner activity is used to get the suggested meal plans with the help of the user's general information (Height, Weight, Gender, Age, and Body fat) and the food ontology database APIs. This functionality also allows the user to add foods manually using text search and voice search. (3) The third feature, Progress Report activity is used to present the weekly and monthly reports of the activity tracker and nutrients consumed by the user in the form of a line and pie chart. Moreover, the user can also see his/her weekly progress for the activity tracker and meal planner by just clicking the icons on the activities in the form of bar chart as well as a daily report in a list format. (4) The last activity is the health blog which can be used to see different blogs available online related to the health and life improvement.