AI Powered Multi-Model Fake News Detection System

Vidhya W S , Mrs.Kanchana

Fake News, Deep Learning, Gemini API, NLP, Multi-Modal Analysis, Real-Time Detection.

This paper presents an AI-powered multi-model fake news detection system that leverages deep learning for visual content analysis and the Gemini API for robust text prediction. The system processes news articles, images, and videos in real time, using state-of-the-art natural language processing and convolutional neural networks to classify content as real or fake. By integrating a fact-checking API and storing results in a MySQL database, the system ensures secure and scalable data management. Experimental results demonstrate high accuracy across all modalities, providing a comprehensive tool to combat the spread of misinformation.

Published Paper   E-Certificate

"AI Powered Multi-Model Fake News Detection System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c1-c2, March-2025, Available :https://ijsdr.org/papers/IJSDR2503201.pdf

Volume 10 Issue 3, March-2025

Pages : c1-c2

Paper Reg. ID: IJSDR_301302

Published Paper Id: IJSDR2503201

Downloads: 000235

Research Area: Science and Technology

Country: Kanyakumari, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503201

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503201

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition