| dc.description.abstract | The creation of a state-of-the-art mobile application platform that accommodates a wide range
of functions for its users is the thesis's capstone. An immersive electronic device experience is
created by functionality that extends from the easy viewing and searching of products to the
thorough completion of the purchase and payment processes. Using the Flutter framework and
the Dart programming language, this application is carefully designed to function well on an
Android emulator.
The capacity to explore, search, and participate in the buying process is granted to users, who
can do so by navigating through an intuitive interface that improves their overall contact with
electronic devices. The dynamic elements integrated into the program facilitate the purchasing
process and offer users a satisfying shopping experience.
The thesis delves deeper into technological developments and presents a novel paradigm that
sits beneath the mobile application system. Using Deep-CNN-powered object recognition, the
model focuses on recognizing unique and distinguishing aspects in photographs, adding a new
level of depth to the shopping experience. This model, which is focused on electronic devices,
it helps to produce a more accurate and sophisticated representation of items in the application. | en_US |
