MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113247 A) filed by Chandigarh University on September 22, 2026, for Real-Time Multimodal Creator Engagement Prediction And Optimization System.
Inventors include Manan Khandelwal; Ujjwal; Aditya Manhas; Prerna; Rohit; and Mayank Sharma.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a real-time multimodal creator engagement prediction and optimization system for optimizing digital content during recording. The system captures audiovisual and biometric signals of a creator and extracts audio, visual and physiological features. The extracted features are normalized, synchronized and combined into a unified feature vector. A creator-specific baseline model derived from historical high-performing content is retrieved and compared with the real- time feature vector to determine a deviation. A multimodal fusion engine processes the feature information and deviation to generate an Engagement Probability Index representing predicted audience engagement before publication. When the index falls below a defined or adaptive threshold, a feedback module generates visual, haptic or script-based corrective feedback. Actual post-publication engagement metrics are subsequently used to determine prediction error and update fusion weights, baseline parameters and threshold sensitivity, thereby providing adaptive closed-loop optimization.
Disclaimer: Curated by HT Syndication.
