MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096725 A) filed by Dr. O. Kumara Swami; Dr. Ollala Srinivas; Mr. Madhu Ontela; Mr. A. R. Suresh; Dr. Crispine Shiny; and Dr. Ramesh Rajuri on August 11, 2026, for System And Method For Comprehensive English Language Assessment Using Integrated Reading, Writing, Listening, And Speaking Modules With Multi-Dimensional Proficiency Analytics.

Inventors include Dr. O. Kumara Swami; Dr. Ollala Srinivas; Mr. Madhu Ontela; Mr. A. R. Suresh; Dr. Crispine Shiny; and Dr. Ramesh Rajuri.

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

Abstract: [095] The present invention relates to a system and method for comprehensive English language assessment using integrated reading, writing, listening, and speaking modules with multi-dimensional proficiency analytics. The disclosed system comprises a user authentication module, an assessment orchestration engine, integrated reading, writing, listening, and speaking assessment modules, an artificial intelligence evaluation engine, an assessment fusion engine, an analytics module, and a reporting module operating through a centralized computing infrastructure. The system acquires multimodal assessment information including textual responses, spoken responses, listening comprehension data, reading interaction behavior, and candidate performance metrics. Artificial intelligence algorithms, natural language processing models, speech processing techniques, and adaptive evaluation mechanisms process the acquired information to generate competency-specific scores and a unified English language proficiency index. The invention further provides adaptive assessment control, secure data management, cloud-based deployment, predictive learning analytics, authenticated reporting, and scalable institutional assessment capabilities. The disclosed invention improves assessment accuracy, scoring consistency, operational efficiency, adaptive evaluation, and comprehensive language proficiency measurement across educational, governmental, professional, and certification environments. Accompanied Drawing [FIGS. 1-2]

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