International Journal of Scientific Research and Engineering Development

The rapid growth of digital communication platforms has accelerated the spread of misleading and unverified information, making manual verification insufficient. This paper presents TrueSource, a webbased intelligent fact-verification platform that evaluates the authenticity of textual and multimedia claims in real time. The system integrates artificial intelligence techniques with a structured trust evaluation framework to compare user-submitted content against reliable data sources and assign credibility levels (high, moderate, or low). By combining AI-driven analysis with a transparent scoring model, TrueSource enhances both accuracy and interpretability. The platform aims to strengthen information reliability, encourage critical thinking, and reduce the impact of misinformation through a user-friendly, real-time verification system.

Prof. Pooja Datir, Aryan Manoj Mali, Parth Yogesh Surve, Roshan Arun Ghodsare, Lalit Dilip More,"TrueSource: A Community-Driven AI-Based Fact-Checking and Verification Platform" International Journal of Scientific Research and Engineering Development, V9(1): Page(1998-2000) Jan-Feb 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.