Location Based Assistant on Android Platform

In recent years there has been a great interest in implementing human assistant applications framework on mobile phones. This thesis demonstrates development of a mobile phone application using the Google Android operating system, the main work of this thesis was to develop a core for a location based assistant that offer various services including setting up client-server communication for running an objects recognition application on a server from an Android device. Because many objects recognition algorithms require high complexity cost, implementing these algorithms on a mobile client with reasonable user interactions is often infeasible. One remedy to this problem is to offload the work to a high-performance server over the internet network. This application also provides user with location based news where user can acquire news locally and globally on the map, different sources of news will be shown accordingly as news has become an important part of human life, it keeps us connected to a variety of events at the local, national or international level, the application also allows the user to take pictures and locate the pictures physical address along with a panoramic view of the location, the application also match the similar images on the internet using the google reverse image search.