Intellectual Property India Publishes Patent Application for 'AI-Driven Framework For Assessing Mathematical Aptitude And English Proficiency To Improve Career Recommendations In Higher Education' Filed by Dr. Anil Kumar Menaria; Amanpreet Kaur; Boovitha D; Mamta Chhabriya; Dr. Ajay Kumar Varshney; Dr. Neeru Bala; Mr. Ram Krishna Verma; and Alugolu Avinash

MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511132541 A) filed by Dr. Anil Kumar Menaria; Amanpreet Kaur; Boovitha D; Mamta Chhabriya; Dr. Ajay Kumar Varshney; Dr. Neeru Bala; Mr. Ram Krishna Verma; and Alugolu Avinash, Udaipur, Rajasthan, on Dec. 27, 2025, for 'ai-driven framework for assessing mathematical aptitude and english proficiency to improve career recommendations in higher education.'

Inventor(s) include Dr. Anil Kumar Menaria; Amanpreet Kaur; Boovitha D; Mamta Chhabriya; Dr. Ajay Kumar Varshney; Dr. Neeru Bala; Mr. Ram Krishna Verma; and Alugolu Avinash.

The application for the patent was published on Feb. 6, under issue no. 06/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to the development of AI-based system is built to assess both math skills and English proficiency, helping to provide better career advice for students in higher education. It uses machine learning and natural language processing to evaluate students' strengths and weaknesses through adaptive tests, as well as analyzing their written and numerical responses. By tying these assessments into career guidance algorithms, the framework offers tailored recommendations that match individual skills and interests. This method overcomes the flaws of standard testing and one-size-fits-all counseling, giving a more flexible and data-driven approach to career planning. Early results show that it significantly improves the accuracy of predicting fitting career paths based on a thorough evaluation of language and quantitative skills. With this system, students, educators, and advisors can make more informed decisions, leading to better academic and professional results. Overall, this AI-driven model marks a notable step forward in educational technology, merging cognitive assessment with career guidance to help higher education institutions better support their students and align career paths with changing industry needs."

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