Enabling computers to interpret web design layouts and generate aesthetic websites using machine learning


Within this expansive digital era, businesses and advertisers are competing to sway audiences to indulge in their products through their high-end websites. Although these digital interfaces may provide good customer experience, people have been searching for ways to improve their website building and performance; however, artificial intelligence provides a better way to generate quality websites. Rather than retrieving and organizing extensive information ourselves, we can enable computers to utilize information and recognize inherent patterns within web designs through unsupervised learning methods and algorithms. In order to achieve this, we must understand the way people recognize the aesthetics of web design and why certain websites are more appealing than others. By teaching a computer how to operate under this imaginative mindset, digital infrastructure and web designing would rapidly excel as computers would have the ability to analyze thousands of websites and conjure up a captivating website. My presentation will analyze some of the websites that I have built myself, and the approach I take when designing them when using HTML, CSS, and JavaScript. Within my proposed project, I explore the ways in which machine learning and unsupervised learning algorithms could recreate this process, thus having the ability to take in a few words and generate a user-friendly and custom website.

Room 212
Saturday, March 7, 2020 - 15:00 to 16:00