MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050806 A) filed by Sr University, Warangal, Telangana, on April 21, for 'multimodal data fusion for consumer behavior prediction using multimodal deep learning models.'
Inventor(s) include Mr Mohd Abdul Hafeez; and Dr. Sasanko Sekhar Gantayat.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a multimodal data fusion system for consumer behavior prediction using deep learning models. The system integrates heterogeneous data sources including text, images, audio, and user interaction data. A hybrid fusion mechanism is employed to combine features from different modalities effectively. The model utilizes advanced neural networks and transformer architectures for feature extraction and prediction. Additionally, explainable AI techniques are incorporated to enhance transparency and trust. The proposed system improves prediction accuracy and supports real-time decision-making. It is applicable in marketing analytics, recommendation systems, and customer relationship management."
Disclaimer: Curated by HT Syndication.
