MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621067941 A) filed by Lnct University on May 30, 2026, for A System And A Method For Ai-Based Detection Of Viral Manipulated Media And Predictive Electoral Impact Orchestration.
Inventors include Anjul Upadhyay; and Prof. Dr. Manishkant Jain.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT A SYSTEM AND A METHOD FOR AI-BASED DETECTION OF VIRAL MANIPULATED MEDIA AND PREDICTIVE ELECTORAL IMPACT ORCHESTRATION The present disclosure relates to a system and method for AI-based detection of viral manipulated media and predictive electoral impact orchestration. The system comprises a media acquisition module, adversarial deepfake analysis unit, viral mutation intelligence engine, blockchain-assisted provenance validation module, federated misinformation-learning framework, neuro-symbolic electoral reasoning engine, and multi-modal authenticity fusion module configured to identify manipulated multimedia content and coordinated misinformation campaigns across distributed communication platforms. The system performs facial inconsistency analysis, semantic anomaly detection, physiological authenticity assessment, spectral voice verification, and metadata integrity validation for generating manipulation integrity confidence tensors. The invention further tracks evolving misinformation variants including cropped, compressed, subtitle-modified, multilingual, and adversarially perturbed derivatives. Additionally, the system generates constituency-level electoral-risk analytics, predictive electoral-impact intelligence, tamper-resistant forensic authenticity records, and adaptive misinformation-containment recommendations for improving democratic cybersecurity resilience, distributed authenticity verification, and real-time electoral-security orchestration.
Disclaimer: Curated by HT Syndication.
