Inspiration

We were inspired to create this because of the constant gun violence that has occurred in 2018. We wanted to create something that could identify gun related key words in tweets due to the prevalence of social media in our daily lives.

What it does

You can implement keywords and it searches the most recent tweets containing specific keywords that also include the location.

How we built it

Using stdlib, node.js and twit (an API client) we pulled recent tweets containing a certain interchangable keyword as well as their respective locations. We filtered all tweets without geoinformation and then outputed this information into an array. For the HTML website - we used Adobe Dreamweaver to code the site through a template and then created a table to display the data from the tweets.

Challenges we ran into

Unfamiliarity with javascript causing implementation problems, long debugging times, not enough tweets, limited locations,

Accomplishments that we're proud of

The whole thing.

What we learned

HTML5, Python, Node.js, javascript, API, working with people from different educational backgrounds, working on 3 separate projects and implementing them together into our final.

What's next for Utilizing Twitter Text to Locate Target Data

This API system can be used to find specific keywords and it is not limited to gun violence. You could search the name of a company or etc and use this system to compile user data and location.

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Updates

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I helped make and led the development of the prezi presentation. I also contributed to ensuring there was communication between the logistics, development, and designing team while working on separate components of our project, before amalgamating them into one idea.

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