The smart shopping assistant app

Abu Bakar, Nurfarihatul Jannah (2016) The smart shopping assistant app. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full text) The smart shopping assistant app.pdf - Submitted Version Download (2MB)

Abstract

Smart Shopping Assistant App (SSAA) is a system that can help user to choose the best shopping mall that available in the user area. The decision making is made based on the item prices and the distances of the shopping mall from the location of the customer. By using this app, daily life cost of the customer can be reduce, besides this app help saving time for the customer in term of making decision to choose the best shopping mall. This system apply Image Processing technique which is OCR in Artificial Intelligence to solve the problem and also using crowd sourcing to gain data from target shopping mall such as item prices. Furthermore, waterfall model can be used in the methodology part which have requirement, design, implementation, verification and maintenance for completing this system successfully. Other part for the methodology are flow chart, Gantt chart and milestone and date to be the reference to make sure the project can be completed on time. Lastly, this system can assist customer in making the right decision during choosing the best shopping mall that suitable for the customer based on the requirement that is, distances of customer from the shopping mall and the prices offer from the shopping mall. So, this can help in saving time and cost for the customer.

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