Abstract:
The objective of this project is to develop an Android Shopping Assistant and
Recommender. Application that can scan barcodes effectively and produce its prices on
the customer’s android phone screen so a person can shop within a certain budget. This
report explains the methods people make use of for their shopping purposes and their
preferences and how it can be incorporated in a single application making use of
technology. It gives a brief introduction and the review of technology and different
applications. Finally, it explains the methodology of the project and the end product of
the studies and implementation that is achieved through this project.
This project undertaken is developed using the Android technologies. The main
advantage of using Android Operating System is that it provides various features and
functionalities that are suitable for developing the Shopping Assistant and
Recommendation application. The Shopping Assistant and Recommendations works
with first capturing an image of the products barcode and searches for a match from the
database through a simple image detection algorithm in the form of an API working at
its backend. This application is designed to facilitate the user for his/her shopping trips
and maintain the item’s list that has to be purchased with continuously comparing and
tallying items prices. The items are maintained according to user’s purchasing history.
Recommendations for future development and conclusions are also included in the report.
