Bin Asif Niazi
Honours Project Title:
The foodfinder system is a restaurant recommender system. It consists of a Mongo database to store information, a REST API to provide web services and run the recommendation algorithm and the Android application. The recommendation algorithm and almost all other system logic takes place on the server to make the mobile application not as computationally intensive.
The zip file has two folders. The test folder is the REST API, the foodfinderbeta folder is the android application. There is a README file in the zip file that outlines where the source files that I wrote are stored. The only part of the system not uploaded is the Mongo database. Running the applications will require the IntelliJ IDEA with the Spring Framework and Android Studio