Fake News Detection System

  • Many people disclose fake news or misleading information in the media. However, fake news can create a lot of chaos in people. Today, with the help of AI, many social media platforms, like Twitter, Facebook, and Instagram, are working on making their systems perfect to detect fake news accurately and prevent them from reaching out to people.
  • Creating a fake news detection system as a beginner can be an excellent AI project idea. To get started, you will need access to the Kaggle dataset . Next, leverage various data science libraries , such as NumPy, Pandas, Scikit-Learn, and py caret and transformers. Once you develop the system, it can detect whether the news is fake or not.
  • More Beginner-Level AI Projects

    Other than the projects mentioned above, here are some more beginner-level AI project ideas for you to try out:

  • Fake product review identification system
  • Language Translator
  • Object detection system
  • Artificial Intelligence Projects for Intermediate Learner

  • You must proceed with intermediate-level artificial intelligence projects once you’re done with many generic beginner-level AI projects. These are neither too difficult to develop nor neither too easy. Thus, you need to invest a good amount of research and effort in them.
  • Moreover, you must have a robust knowledge of many advanced AI and machine learning concepts, like ANNs , CNNs, transfer learning, visual recognition, etc. Following are our three picks for the best intermediate AI projects: