"The Art of Fiction: Enhancing Storytelling with Machine Learning" is an innovative machine learning-based project aimed at combating the spread of misinformation through intelligent news classification. The project, titled The Fictional Times, utilizes Natural Language Processing (NLP) techniques and trained machine learning models to analyze and classify news articles as either real or fake.
By accepting user-inputted news text—either headlines or full articles—the system evaluates the authenticity of the content using algorithms such as Logistic Regression, Naïve Bayes, Random Forest, and deep learning-based LSTM models. A key feature of the system is its real-time verification capability, providing users with immediate feedback and a confidence score.
The platform also includes an interactive quiz module to help users build critical thinking skills and improve media literacy, empowering them to better recognize misinformation in daily life. Built using Python and deployed via Flask for web access, the project ensures a user-friendly interface while supporting backend data processing through libraries like NLTK, Scikit-learn, and TensorFlow.