MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202511003891 A) filed by Shoolini University Of Biotechnology And Management Sciences on January 17, 2025, for A Real-Time Multimodal Ai Translation System.
Inventors include Dr. Anurag Rana; Er. Nitesh Sharama; Er. Mahesh Sharma; and Dr. Pankaj Vaidya.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: A REAL-TIME MULTIMODAL AI TRANSLATION SYSTEM The present invention provides a real-time translation system that integrates Natural Language Processing (NLP) and Computer Vision to deliver accurate, context aware translations. The system processes multiple input types, including spoken language, written text, and visual data such as gestures and facial expressions, enabling more comprehensive and culturally sensitive communication. Unlike traditional translation systems that focus solely on text or speech, this invention considers non-verbal cues and environmental context to enhance translation accuracy. By synthesizing multimodal data in real-time, the system is designed for use in a variety of applications, including travel, business, education, and healthcare, where effective cross- language communication is essential. The invention’s real-time processing capabilities ensure fluid interactions without delays, while its ability to handle both linguistic and non-verbal information makes it suitable for complex, nuanced conversations. Overall, the system represents a significant advancement in global communication, bridging language barriers with precision and cultural awareness.
Disclaimer: Curated by HT Syndication.
