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 Ruby on Rails, with the help of MS Translator API, Project Gutenberg (data scrapping with Cheerio, a Ruby Gem).

Timeframe: 1 week | Live Demo | Source Code

Parse is one of the most interesting projects I have worked on for the WDI program. I worked in a team of 4. I was the Front-End Web Developer for this particular project so I worked with a lot of HTML, CSS, jQuery, and the Foundation 5 Framework.

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.

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.