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SBHACKS - SBAM detector

A webapp for detecting spam comments in youtube videos.

Note: server may currently be down

Usage

https://metanovitia.github.io/sbhacks-v/#/ Enter a link in the input box and click the check spam button. A top-20 list of potential spam messages will be shown, sorted from most to least likely to be spam. Users may choose to mark as spam or not spam. A word cloud of the words contained in the most likely to be spam comments is also generated in the Word Cloud tab.

Technology Used

  • Google Cloud Platform : training the model, hosting the server
  • YouTube API : request for comments from YouTube
  • Tensorflow, Keras : machine learning
  • Flask : backend of connecting the YouTube API, machine learning model, and the server
  • React : Front end (takes data from server)

Team:

  • Pooya Khosravi
  • Raymond Nguyen
  • Meta Novitia
  • Junlin Wang

DevPost: https://devpost.com/software/thenewrandom

About

SBAM Detector, project for SBHACKS-V. A webapp for detecting spam comments in youtube videos.

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