International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | TruthGuard |
|---|---|
| ABSTRACT | The rapid proliferation of misinformation across digital platforms has emerged as a critical global challenge, significantly impacting public perception and decision-making. TruthGuard is an AI-powered web-based platform designed to detect and verify fake news by analyzing content against multiple trusted sources in real time. The system enables users to submit a news URL, extract its content, and evaluate its authenticity using intelligent algorithms. The platform integrates advanced Artificial Intelligence techniques with real-time web search capabilities through an AI SDK. It performs multi-source verification by comparing extracted content with reliable news outlets, analyzing semantic similarity, credibility, and contextual accuracy. Based on this analysis, TruthGuard generates a final classification of the news as True or Fake along with a confidence score. Additionally, the system provides secure user authentication, scalable architecture using modern frameworks, and an intuitive user interface. Unlike traditional fact-checking methods, TruthGuard emphasizes automation, speed, and explainability. This project demonstrates how AI-driven solutions can effectively combat misinformation and enhance trust in digital information ecosystems. |
| AUTHOR | FATIMA SULTANA SAYED, TAHIYA ISHAQUE RAZA, JAFEERA JAMIL ANSARI, PROF. MANSI TRIVEDI UG Students, Dept. of AI&DS, Rizvi College of Engineering, Mumbai, India Professor, Dept. of AI&DS, Rizvi College of Engineering, Mumbai, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404061 |
| pdf/61_TruthGuard.pdf | |
| KEYWORDS | |
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