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Fake Bloggers AnalyticsResearch Project
In Progress

A comprehensive database exposing inauthentic behavior in social media, backed by data-driven analysis.

Live Project

The Challenge

Creating a reliable system to identify and track social media influencers who artificially inflate their engagement metrics and follower counts.

Key Features

  • Automated data collection from multiple platforms
  • Pattern recognition for fake engagement
  • Historical data tracking
  • Community-driven reporting system

Tech Stack

Python Data Analysis Social APIs MongoDB Data Visualization

Learning Outcomes

  • Social media data collection at scale
  • Pattern recognition in user behavior
  • Database design for large datasets
  • API integration with multiple platforms