Intellectual Property India Publishes Patent Application for Machine Learning Based Mudra Recommendation System (mrs) Using Speech Processing, Image Processing, And Nlp.

MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621067485 A) filed by Mr. Aryan Shaikh; Dr. Alam N. Shaikh; Dr. Kavita Wagh; Dr. Vedika Avhad; Mr. Tulshidas Mane; Dr. Vaibhav Khatavkar; and Ms. Ahana Shaikh on May 29, 2026, for Machine Learning Based Mudra Recommendation System (mrs) Using Speech Processing, Image Processing, And Nlp..

Inventors include Mr. Aryan Shaikh; Dr. Alam N. Shaikh; Dr. Kavita Wagh; Dr. Vedika Avhad; Mr. Tulshidas Mane; Dr. Vaibhav Khatavkar; and Ms. Ahana Shaikh.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: The present invention details a Machine Learning-Based Mudra Recommendation System (MRS) designed to provide holistic, non-pharmaceutical healthcare solutions through automated therapeutic hand gesture (Mudra) suggestions. Users input their physical or mental symptoms into the system via voice or text, which are then parsed and analyzed using a Natural Language Processing (NLP) pipeline and specialized audio data processing algorithms. The system executes a symptom-based classification and maps the extracted data against a highly accurate disease prediction algorithm and a corresponding Mudra-to-disease database. By identifying the specific ailment, the system outputs the precise curative Mudra in an accessible image format. This invention aims to mitigate modern health crises, particularly diabetes, by bridging ancient Ayurvedic practices with modern artificial intelligence, thereby offering an instant, user-friendly, and highly accessible therapeutic environment without the need for traditional clinical spaces or direct human medical assistance.

Disclaimer: Curated by HT Syndication.