## Inspiration GRE words was conceived when I was preparing for my GRE examination. As a techie myself, I never liked to read a bunch of books to prepare for an exam like these. Instead, I always found it useful to have a resource with me available all the time. Vocabulary building is something I believed is best achieved when done consistently. We have seen numerous forums and applications where you are given few words a day to add to your vocabulary. Alexa devices and the likes, in my opinion, perfectly serve this purpose of consistent learning. This synergy is what I hope to exploit through this app.
## What it does Currently restricted to most commonly read GRE words, it allows the user to retrieve one word at a time. One striking abstraction of this application is that unknowingly the user is given words in a sequence which are closer to each other. The database of words are sorted and clustered in groups which enhance retaining the meaning and usage of those words.
## How I built it The concept was originally a django application for words in general available on my Github. For the skill challenge it was modified to serve a targeted audience, GRE aspirants. The skill's lambda function is built over python with a simple database of words.
## Challenges I ran into Keeping it simple and informative
## Accomplishments that I'm proud of It is something in the direction of promoting ubiquitous learning
## What I learned Simple interfaces can cater to wider audience
## What's next for GRE words I wish to extend the application for other examinations such as GMAT etc and in future to general vocabulary building.
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