The Real You

Main Menu
Dashboard
Twitter User Usage Data
Personality Evaluation

Inspiration

Members of the team wondered about how much of a person's personality could be extracted solely based on their social media content, meaning what they tweeted, liked, or otherwise posted about.

What it does

As a team, we took this idea a step further: extracting a person's health and finance characteristics based on this content.

How we built it

We started from a node.js server and wrote a system to pull a user's Twitter timeline. We then sent this to IBM Watson for natural language understanding and personality insight. The corresponding response was sent to a Mongo database, routed through MicroStrategy's analytics sdk and rendered using the React frontend.

Challenges we ran into

Connecting the Mongo database to the MicroStrategy data analytics sdk.

Accomplishments that we're proud of

Having a very simplistic and clean frontend.

What we learned

mongoDB, React, Css3, AWS, JS, Data visualization and analytics

What's next for The RealYou

Expanding to multiple social media platforms to allow for a breadth-first search of data opposed to deep diving into one platform. This will allow the real you to create a more complete analysis of the user.

Built With

Submitted to

VTHacks VI

Created by

First time making a frontend...let alone using React and js. Learned a ton about UI's and routing data through states and communicating with DB's

Brady Murphy
Worked on the front end, learned how to create a UI in React. Also learned about CSS

Hamza Monawer
I worked on the backend, specifically extracting tweet data from Twitter's API, funneling the data through IBM Watson, and communicating with mongoDB through an AWS EC2 instance.

Sean Seth
Ethan Ramakrishnan

Updates

Brady Murphy started this project — Feb 16, 2019 08:28 PM EST

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