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ALVIS is a tool supporting a novel approach presenting Web Augmentation as a bridge for joining Web Scrapping by end users with the benefits of visualizing already existing raw data in a high level of abstraction to easily solve specific tasks on the Web, on-demand and without changing his context of use. It is not just about expanding the limits of technology but enhancing the user experience in any Web page --even third-party-- by the addition of a new feature. We are on the way to verify if the use of on-site visualizations on demand and in any place improves the productivity, usability and engagement of the user in general terms or when dealing with domain-specific tasks.

JavaScript 90.81% CSS 5.39% HTML 3.80%

alvis's Introduction

Hi there ๐Ÿ‘‹, I'm a R&D Software Developer focused on Web applications

  • ๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ Iโ€™m currently working as a full-stack Web Engineer in the CRM domain
  • ๐ŸŒฑ Iโ€™m currently learning UX and browser automation
  • ๐Ÿคฒ Iโ€™m looking to collaborate on language learning and cultural heritage open-source projects
  • ๐Ÿ‡ฆ๐Ÿ‡ท I'm Argentinean and ๐Ÿ‡ฎ๐Ÿ‡น Italian
  • ๐Ÿ˜„ I love cycling, slacklining, hiking, practicing languages, and singing

LinkedIn โ€ข Scholar โ€ข SlideShare โ€ข StackOverflow โ€ข ResearchGate โ€ข YouTube

alvis's People

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