Inspiration

  • Inspired by the Twitter icon or text that shows if a tweet is not the truth. We also had personal experiences in which we have seen plagiarized tweets. Our vision is for Twitter PlagTool to be offered as a product for Twitter users to identify if a tweet is original or not. ## What it does Twitter PlagTool determines if a tweet is plagiarized or an original tweet. ## How we built it
  • Front-End: Our front-end consists of HTML, CSS, and JavaScript. We aimed for our tool to be easily accessible and understandable by people of all backgrounds and technical experience. And such, we have created a minimalistic and user-centric design
  • Back-End: For our back-end we used python to create our server by creating a query of tweets, fetching username, id, and tweets.

Challenges we ran into

  • Initially, we struggled with connecting our Javascript frontend with our Python backend but through research, we were able to bounce back. We also had trouble connecting our python server to Heroku.

Accomplishments that we're proud of

  • Working on the project was definitely a great learning experience, we had the opportunity to learn how to work with the Twitter Developer API and how to retrieve tweets. We also had the opportunity to learn how to create an extension application on google chrome. We also helped to incorporate bootstrap and other styling frameworks to customize the interface of the app.

What we learned

  • We learned how to create a chrome extension and how to set up a server using python and flask. We also learned new ways to make real-time collaboration with our team members.

What's next for Twitter PlagTool

  • Show the original tweet if the current tweet is plagiarized.
  • Apply Machine Learning to recognize slightly rephrased tweets of an original tweet .
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