MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641093561 A) filed by S R University on August 02, 2026, for Machine Learning - Based System And Method For English Proficiency Assessment And Career Recommendation In Higher Education.
Inventors include Dr. R. Krishnaveni; Dr. B. Lalithadevi; and Dr. B. Sahana.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: MACHINE LEARNING - BASED SYSTEM AND METHOD FOR ENGLISH PROFICIENCY ASSESSMENT AND CAREER RECOMMENDATION IN HIGHER EDUCATION ABSTRACT The present invention is related to a machine learning-based system and method for English proficiency assessment and career recommendation in higher education. The system consists of a student language data acquisition module, a multidimensional English proficiency assessment engine, a speech & pronunciation assessment module, a writing competency analysis engine, a reading & comprehension assessment framework, a machine learning-based performance prediction module, a career suitability inference engine, an educational & employment knowledge repository, a personalized career recommendation framework, an adaptive learning recommendation module, an institutional analytics dashboard, and a student progress monitoring interface. The system assesses a range of aspects of English language competence, and uses machine learning methods to estimate learner competence and suitability for work. Personalized education and career suggestions are provided based on proficiency characteristics, aptitude indicators and the requirements of employment. The invention has applications in improving educational decision making, to assist in assessing employability and to offer intelligent career guidance for students in higher education settings.
Disclaimer: Curated by HT Syndication.
