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FakeFind: A social media detection project employing ML to discern fake accounts by analyzing profile data, username attributes, and activity metrics.

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FakeFind: Social Media Account Detection

Idea/Solution/Prototype Description:

FakeFind aims to detect fake or spam social media accounts using machine learning algorithms. The following parameters will be used to train the ML model:

  • Presence of profile picture
  • Numbers/character length in username
  • Similarity between the user's name and the username
  • Description length and the presence of any external links in it
  • Privacy settings of the account followed by the number of posts, followers, and follows

Technology Stack:

Programming Language:

  • Python

Modules:

  • Numpy
  • Pandas
  • Matplotlib

ML Frameworks:

  • Scikit-Learn

Models:

  • Linear SVC
  • Naive Bayes
  • KNN

Web Scraping (If needed):

  • Scrapy
  • BeautifulSoup
  • Selenium

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FakeFind: A social media detection project employing ML to discern fake accounts by analyzing profile data, username attributes, and activity metrics.

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