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Méd!A

Requirement

  • Python 3 and higher
  • Flask
  • Tensorflow
  • Keras
  • NumPy

To install:

pip3 install Flask
pip3 install keras, tensorflow, numpy

To run:

python3 main.py

Description

During the second edition of the Radio-Canada Hackathon, our team developed a neural network whose function is to differentiate fake news articles from legitimate news articles. The very limited access to French databases on fake news platforms forced us to manually parse domains of different news platforms, and due to the nature of the Hackathon, we didn't have time to collect enough data to train our model well enough, as it was overfitting.

Usage

Contributors

  • Anna Brandenberger: Data Scientist github
  • Peter Chen : Back-End Developer github
  • Xing Han Lu : ML Engineer github
  • Yunke Xiao : Front-End Developer, Project Lead github
  • Ming Zhao Zheng : Back-End Developer github

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Languages

  • Jupyter Notebook 86.7%
  • Python 5.3%
  • CSS 3.3%
  • HTML 2.8%
  • JavaScript 1.9%