What's included

• Fake News Detection

  Trained ML Model: A fully developed and trained machine learning model capable of detecting fake news with high accuracy. Model Deployment: The model integrated into a user-friendly platform (e.g., web app, API) for easy access and real-time analysis. Data Pipeline and Preprocessing Scripts: Cleaned and labeled datasets along with scripts used for data preparation, ensuring the model’s reproducibility. Performance Report: A detailed report outlining the model’s accuracy, precision, recall, and other performance metrics, along with any validation results. Source Code and Documentation: Well-structured code files with clear documentation explaining the model’s architecture, setup instructions, and usage. User Guide: A simple guide on how to use the detection tool, including steps for inputting data and interpreting results. Maintenance and Improvement Plan: Recommendations for future model updates, fine-tuning, and strategies for handling new data or evolving news trends.