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[Customer Milestone #1](Milestone 2 Report)

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Server Main Page

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Use Case Diagram

Activity Diagram

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Class Diagram

Web & Mobile Mockups

Mobile Mockups

Web Mockups

[Assingment 5 Peer Review of Group 9] (https://github.com/bounswe/bounswe2016group3/wiki/Assingment--5-Peer-Review-of-Group-9)

Project Description

##Know What You Eat##

This project aims to serve people to learn more about what they are eating in terms of micro and macro nutrients.

There are many food serving outlets around us. Some serve large number of people like the university mess hall and canteens. Others are various restaurants.

This application will enable food servers to create a profile and description of the food they serve. The nutritional properties for the food served will be determined from nutritional information given recipes. You must meet with the university mess hall, canteens, and restaurants to gather information about what they serve and how they can describe the food they serve.

Regular users will be able to explore the servers, the food, and see the information about the food. In addition to nutritional values, eating preferences will also be important. Vegan, vegetarian, allergies, foods not liked, calorie restriction information of users will be part of their profile. Searching and displaying information must be filtered according to users.

Users will be able to tag, comment and rate food as well as the servers. They will be able to post media in their comments. Such information can be very useful for others, since they can benefit from the experiences of others. They can indicate “I ate that”. They can also indicate a group of things they ate as a group. The user should be able to view their history of consumption. They should also be able to share with other users as well as social media.

Likewise, servers can benefit from the comments and reactions. They can learn about preferences. An analysis of user contributions should be presented to servers.

Semantic tags will be used to facilitate semantic search and recommendations.

Web annotation model (https://www.w3.org/TR/annotation-model/) must to be used for annotation for tagging. The application must have a web and mobile client (android). Localization must be handled for alternative languages.