Identification Of Fake News

We are developing an AI-based web application called Kavach News, designed to identify and verify the authenticity of online news articles. This system aims to combat the widespread issue of misinformation by allowing users to input news URLs or headlines, which are then analyzed in real-time using Natural Language Processing (NLP) and machine learning algorithms. The app will scrape news content, perform linguistic and sentiment analysis, cross-verify with trusted sources using APIs like Google News, and generate a credibility score for each article. Based on the credibility score, the system will classify the news as Real or Fake. The platform will feature user-friendly submission forms, quick verification results, and detailed credibility reports. Additionally, it will offer mobile-friendly interfaces, send real-time alerts for suspicious news, and support multi-language inputs. Future updates will include multimedia content verification and explainable AI-based decision support. The overall objective is to provide a fast, reliable, and accessible solution to help users distinguish between true and false information online.