Smart location-based mobile shopping Android application

In this thesis, a standard feature of today's smart phones "the location information" is used for determining the user location. SAGO finds nearest electronic super-stores by using the location information. Currently, SAGO shows only the electronic malls however, it will be added other types of shopping stores such as clothing stores, perfumery and so on. Therefore, this mobile shopping Android application's coverage is not limited. The application is easily extendable according to the users' requirements. The Android application is developed in Android 2.2 version, Application Programming Interface (API) level 8. Although the mobile application is developed for Android devices, it will be easily adopted and developed for iOS devices. The system architecture is designed by using Service-Oriented Modeling Framework (SOMF) which is based on the Unified Modeling Language (UML) and also, object-oriented programming language is used in the development process. Designing with UML is simplifying the complexity of the system and helps us to understand the architecture of this thesis project. In the development process, the users' input data which has been brought before searching products in nearest electronic super-stores and also the names of local shopping stores are used in a "Smart Filtering algorithm". Moreover, simple filtering and cleaning technics such as Agglomerative Clustering Algorithm, Greedy Search Algorithm, and a Levenshtein distance are used in Search And Go (SAGO) mobile shopping application. By using this Android mobile application, the users are able to search the products in closer areas. The mobile users do not need to know where the locations of the shopping malls are. Also, the users are able to compare the prices that they are getting from each local electronic super-store and subsequently decide where to buy. The product is not purchased thorough the SAGO mobile shopping application. If the mobile users want to buy products, they will go to the related store directly. According to these, the users save both their money and time by using this Android mobile application.