Document Type
Capstone Open Access
Faculty Supervisor
Jenelle Chen
Domain Experts
Evgenia Namestnikova, Sheridan College
Date of Defense
Winter 12-12-2022
Department
Faculty of Applied Science & Technology (FAST)
Program Name
Honours Bachelor of Computer Science (Mobile Computing)
School
Applied Computing
Description
Utilizing the technologies of mobile and cloud computing, this application will give users the ability to browse and locate the type of artworks they are seeking, while also allowing artists to showcase their art in a manner conductive to finding buyers. By bringing all artists together this application will allow artists to increase their exposure and contribute to the growth of the visual arts industry. Current platforms used by artists aren’t tailored to their needs. Artists must adapt to these platforms and risk making their output seem unprofessional due to the nature of the applications. Artists lack the ability to customize how their art is perceived in a digital setting, which undermines their artistic expression, and their ability to convey their intentions to their potential clientele.
Abstract
It is not easy for a new artist looking to become a professional to find an avenue to sell their art. There are many obstacles, such as reaching the proper audience, having control over how your art is displayed, and making transactions in a safe and secure manner. Furthermore, buying art is also a hardship. What if the art you buy online does not suit the environment it is destined for? What if there was a way to find art closer to what you desire? This application seeks to alleviate these problems by providing a platform for artists and buyers of art to connect in a new and beneficial way. By allowing users who seek to buy art the ability to hone in what type of art they are seeking, and then actually view their art in the setting they wish to decorate it with in augmented reality, we will help buyers have more satisfaction with the experience of buying art. Likewise, by allowing artists to highlight their art in a more realistic manner, it will allow them to reach a broader audience and give their clients what they are looking for.
Recommended Citation
Ho, Harvey Mr; McGhie, Scott Mr; and Mun, Vladislav Mr, "Digital Graffiti" (2022). Student Capstones. 10.
https://source.sheridancollege.ca/fast_sw_mobile_computing_capstones/10
Comments
Winner of the 2022 Sheridan Student Experience Award