International Journal of Science, Engineering and TechnologyAuthors: Bharathi Panduri, P K Abhilash, Dr. Y J Nagendra Kumar, Kaliveni Naveen, Alluru Manoj, Patha Shiva Anurag
Abstract: The widespread dissemination of misinformation through social media, news platforms, and messaging applications has become a major challenge in the digital age, particularly in India. False and misleading information can trigger public panic, financial fraud, health risks, and social instability. Existing fact-checking solutions are often manual, time-consuming, or inaccessible to common users, creating a need for an intelligent and real-time misinformation detection system. This project, Verify & Learn, presents an end-to-end solution that leverages Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) to detect, explain, and educate users about misinformation. The system analyzes digital content such as news headlines, articles, social media posts, URLs, and messaging text using machine learning and natural language processing models. These models classify content into categories such as true, misleading, or false across multiple domains including health, politics, finance, science, social media, and online scams. To improve reliability and transparency, the system integrates trusted external sources through fact-checking and news APIs, enabling evidence-based verification with proper citations. Generative AI plays a crucial role in enhancing explainability and user understanding by converting analytical results into clear, human-readable explanations. It also generates educational insights, domain-specific awareness tips, and short learning content that help users recognize common misinformation patterns and manipulation techniques. The proposed system is implemented as a web application and a browser extension, allowing real-time verification during browsing and deeper analysis through detailed reports and shareable PDFs. By combining predictive ML models with explainable and educational Generative AI, this project promotes digital literacy, informed decision-making, and responsible information sharing. The solution demonstrates a scalable and user-centric approach to combating misinformation in real-world digital environments.
DOI: http://doi.org/10.5281/zenodo.20625107
