UI/UX Automated Designs in the World of Content Management Systems

Apoorva Ganapathy

doi:10.18034/ajase.v7i1.45

Authors

Apoorva Ganapathy Senior Developer, Adobe Systems, San Jose, California, USA

Keywords:

User Interface

User Experience

Automation

Content Designs

Artificial Intelligence (AI)

Robot

Abstract

User Interface and User Experience automated designs in the world of content management systems at present, many tools are used for creating UX designs to fulfill further requirements in website development using HTML, CSS, JS, Bootstrap, React, Angular technologies. This article is about facilitating those raw UX designs automated so that fewer human errors are involved. The designs are dynamic and unique with pixel mappings compared to any other designs where humans need to get involved. Automation of UI/UX designs is the use of software to automatically carry out normal human jobs and tasks with little or no assistance from human experts.

References

Ganapathy, A. (2015). AI Fitness Checks, Maintenance and Monitoring on Systems Managing Content & Data: A Study on CMS World. Malaysian Journal of Medical and Biological Research, 2(2), 113-118. https://doi.org/10.18034/mjmbr.v2i2.553

Ganapathy, A. (2016a). Blockchain Technology Use on Transactions of Crypto Currency with Machinery & Electronic Goods. American Journal of Trade and Policy, 3(3), 115-120. https://doi.org/10.18034/ajtp.v3i3.552

Ganapathy, A. (2016b). Virtual Reality and Augmented Reality Driven Real Estate World to Buy Properties. Asian Journal of Humanity, Art and Literature, 3(2), 137-146. https://doi.org/10.18034/ajhal.v3i2.567

Ganapathy, A. (2017). Friendly URLs in the CMS and Power of Global Ranking with Crawlers with Added Security. Engineering International, 5(2), 87-96. https://doi.org/10.18034/ei.v5i2.541

Ganapathy, A., & Neogy, T. K. (2017). Artificial Intelligence Price Emulator: A Study on Cryptocurrency. Global Disclosure of Economics and Business, 6(2), 115-122. https://doi.org/10.18034/gdeb.v6i2.558

Neogy, T. K., & Paruchuri, H. (2014). Machine Learning as a New Search Engine Interface: An Overview. Engineering International, 2(2), 103-112. https://doi.org/10.18034/ei.v2i2.539

Paruchuri, H. (2015). Application of Artificial Neural Network to ANPR: An Overview. ABC Journal of Advanced Research, 4(2), 143-152. https://doi.org/10.18034/abcjar.v4i2.549

Paruchuri, H. (2017). Credit Card Fraud Detection using Machine Learning: A Systematic Literature Review. ABC Journal of Advanced Research, 6(2), 113-120. https://doi.org/10.18034/abcjar.v6i2.547

Vadlamudi, S. (2015). Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion. Engineering International, 3(2), 105-114. https://doi.org/10.18034/ei.v3i2.519

Vadlamudi, S. (2016). What Impact does Internet of Things have on Project Management in Project based Firms?. Asian Business Review, 6(3), 179-186. https://doi.org/10.18034/abr.v6i3.520

Vadlamudi, S. (2017). Stock Market Prediction using Machine Learning: A Systematic Literature Review. American Journal of Trade and Policy, 4(3), 123-128. https://doi.org/10.18034/ajtp.v4i3.521