Parse

Parse is a tool to help language learners read in another language and find important vocabulary to study. The idea is backed by the Pareto Principle: 20% of the words in a text give 80% of it's understanding. To prove this principle, we submitted a sample text of over 15,000 words from The Count of Monte Cristo in the original French and it actually gave us exactly 79.68% understood when 20.02% of the unique words were known. 

It was built with the help of MS Translator API, Project Gutenberg (datascrapping with Cheerio, a Ruby Gem). It was one of the two group projects that we had in the WDI program at General Assembly. I worked in a team of four and was assigned the Front-End Web Developer. I worked with a lot of HTMl, CSS, jQuery, and Foundation 5. With a tight timeframe, we also worked collectively on the Trello board to ensure the MVP is established and additional functionality will be added on to the app whenever appropriate. Check it out here.

Personal Achievement: I was responsible to visualize the progress of how many words you have learned and also help out with a lot of the functionality and user experience. I was really proud to be able to dive into a little bit of UI using jQuery.