MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641086323 A) filed by Madhankumar C; Dr. P. Murugaiyan; S. Faridha; Dr. C. Ramkumar; Sarika Suresh Sakhare; Dr. K. S. Araththi; Selvarajalingam S; Akash R; and Sanjavee M on July 14, 2026, for System And Method For Ai-Assisted Automated Mathematical Problem Solving And Step-By-Step Reasoning Generation.
Inventors include Dr. P. Murugaiyan; S. Faridha; Dr. C. Ramkumar; Sarika Suresh Sakhare; Dr. K. S. Araththi; Selvarajalingam S; Akash R; and Sanjavee M.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: System and Method for AI-Assisted Automated Mathematical Problem Solving and Step-by-Step Reasoning Generation Abstract The present invention discloses a System and Method for AI-Assisted Automated Mathematical Problem Solving and Step-by-Step Reasoning Generation that leverages artificial intelligence, symbolic computation, natural language processing, and adaptive learning algorithms to automatically interpret, solve, and explain mathematical problems across multiple domains. Conventional mathematical solving systems often provide only final answers or limited procedural guidance, making it difficult for learners to understand underlying concepts and reasoning. The proposed invention addresses these limitations by integrating intelligent problem interpretation, symbolic reasoning, computational verification, and personalized explanation generation into a unified educational platform. The system comprises a mathematical input module capable of receiving handwritten, printed, image-based, voice, or text- based mathematical expressions, an AI-powered problem interpretation engine, a symbolic computation module, a reasoning generation engine, a solution verification module, and an adaptive learning controller. Using optical character recognition, natural language processing, and machine learning techniques, the system identifies mathematical expressions, classifies problem types, and automatically selects appropriate solving strategies. The symbolic reasoning engine generates logically ordered, step-by-step solutions while verifying computational accuracy through mathematical validation algorithms. The adaptive learning module personalizes explanations according to the learner's proficiency, learning history, and conceptual understanding, thereby improving educational effectiveness. The invention further incorporates cloud computing, edge computing, knowledge graphs, and continuous self-learning mechanisms to enhance problem-solving accuracy and expand mathematical knowledge over time. The proposed system supports arithmetic, algebra, geometry, trigonometry, calculus, linear algebra, probability, statistics, differential equations, optimization, and advanced engineering mathematics. By combining artificial intelligence with explainable reasoning and automated verification, the invention improves mathematical comprehension, reduces learning complexity, supports personalized education, and provides an intelligent solution for digital learning platforms, educational institutions, competitive examination preparation, and STEM education.
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