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Automated User Interface Generation using Generative Adversarial Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 31 |
| Year of Publication: 2021 |
| Authors: Vedant Nandoskar, Rishi Pandya, Devesh Bhangale, Ajay Dhruv |
10.5120/ijca2021921246
|
Vedant Nandoskar, Rishi Pandya, Devesh Bhangale, Ajay Dhruv . Automated User Interface Generation using Generative Adversarial Networks. International Journal of Computer Applications. 174, 31 ( Apr 2021), 4-9. DOI=10.5120/ijca2021921246
Abstract
A website is the most important marketing tool for a business. Industries are discovering the huge amount of opportunity a digital presence creates. Equally important for a website is a good User Interface because it can make or mar your digital presence and customer base. As a result, people who do not possess the required technical knowledge suffer critical losses due to the lack of a website or a website with substandard UI. The primary objective of this system is to “Enable everyone to create for the web”, focusing more on the latter problem. The goal is to design a machine algorithm that always serves a new set of interactive vector-based UI mock-up images based on the user responses to a predefined number of questions. The proposed system can be used in various fields such as creating website designs for businesses, portfolios, online stores, blog sites, etc. Deep learning and GAN models will help the algorithm learn exact user requirements, preferences, and modifications. GAN will also help the system to deliver a set of new design mock-ups every time eliminating the current problem of a predefined number of templates.
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