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Draft Proposal Form:

ELISA(Exploratory Liable Information Scanning of Articles) - The AI for Fake News Detection

Team

  1. Arvinder Singh Pal Bali (8615130)
  2. Mexson Fernandes (8615208)
  3. Sourabh Choubey (8615125)

Motivation

Fake news on internet have been spreading since the conception of internet itself. They are more of a threat than nuisance, more than ever, mainly because of shear number of people using internet in 21st century. Any chance to curb or even eliminate them is too little of a chance. And since fake news are generated every second, it is impossible to check them at the source. But using Artificial Intelligence techniques, it is now possible to prevent their spread.

Major Challenges

  • Hardware Requirements (GPUs)
  • Feature Extraction
  • Accuracy of model
  • Formulation of equations
  • Human Error
  • Data collection from legitimate websites

Learning Outcomes

  • Various Machine Learning algorithms used in industries to solve problems.
  • Mathematics used for developing ML algorithms.
  • Version control using Git.
  • Working of Decentralized app.

Features

  • Detect click bait links
  • Decentralized News application
  • Social Media Fake News detection
  • Retraining model on daily basis (using News Websites)
  • Cross-platform application