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A machine learning-based system to detect fake online reviews using concept drift adaptation techniques. Includes a full-featured Streamlit UI for real-time prediction, model training, data scraping, and performance visualization.

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Alwvioc/Fake-Reviews-Detection

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Fake Reviews Detection

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The aim of this project is to develop a machine learning model that can accurately detect fake reviews in online platforms. Fake reviews can mislead consumers and affect their purchasing decisions making it crucial to have reliable methods to identify and filter out such reviews.

🧐 Features

Here're some of the project's best features:

  • Can instantly train on any dataset
  • Can generate dataset based on specific Flipkart product
  • Instantly detects fake reviews

💻 Built with

Technologies used in the project:

  • Python

📸 Screenshots

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A machine learning-based system to detect fake online reviews using concept drift adaptation techniques. Includes a full-featured Streamlit UI for real-time prediction, model training, data scraping, and performance visualization.

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