MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511124484 A) filed by Chandigarh University, Mohali, Punjab, on Dec. 10, 2025, for 'ai-driven, multilingual, and literacy-adaptive system and method for visual acuity and reading performance assessment.'
Inventor(s) include Eram Khan; Iqra Jamaal Khan; Sachitanand Singh; Shuchi Sharma; Ashith Tripathi; and Saswati Dutta.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-driven, multilingual, and literacy-adaptive system and method for visual acuity and reading performance assessment using the MNREAD chart. It integrates artificial intelligence (AI), natural language processing (NLP), and adaptive content generation technologies to automatically tailor test materials according to a user's literacy level, language preference, and cognitive ability. The system comprises a Display Module (201) for presenting adaptive reading passages, a Literacy Detection Module (202) for identifying literacy proficiency, a Multilingual Content Generation Module (203) for producing MNREAD-equivalent texts across multiple languages, a Speech Recognition and NLP Module (204) for analyzing verbal responses, an AI Processing Engine (205) for computing visual acuity metrics, a Data Storage and Connectivity Module (206) for secure data handling, and a Clinician Interface (207) for real-time result visualization and reporting. The invention ensures automated and accurate assessment, enabling standardized and inclusive testing for both clinical and teleophthalmology applications."
Disclaimer: Curated by HT Syndication.
