MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641095612 A) filed by Saveetha Engineering College on August 07, 2026, for Artificial Intelligence-Based Adaptive reading And Cognitive Literacy Enhancement System.
Inventor includes Dr R. Subhashini.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The innovation amalgamates Artificial Intelligence (Al), Machine Learning (ML), Natural Language Processing (NLP), cognitive learning analytics, speech recognition, and adaptive instructional technologies into a cohesive platform that perpetually assesses learner performance and adjusts reading instruction to accommodate individual learning requirements. The system includes a learner profiling component, a reading content administration module, a real-time reading evaluation engine, an AI-driven adaptive learning engine, a cognitive analytics unit, a speech and pronunciation assessment module, a predictive learning analytics engine, and a secure cloud-based educational data management platform. Throughout reading exercises, the system persistently gathers multimodal learner data, encompassing reading fluency, comprehension precision, vocabulary development, pronunciation, response duration, ocular movement patterns (when compatible hardware is accessible), interaction behaviors, and cognitive performance metrics. The collected data is analyzed by machine learning algorithms to create a dynamic learner profile and ascertain each student's literacy strengths, cognitive skills, and areas needing educational assistance. The adaptive learning engine customizes reading material in real time according to the learner profile by adjusting text difficulty, vocabulary sophistication, sentence construction, instructional tempo, and learning tasks. The technology delivers insightful feedback via visual cues, auditory assistance, spoken corrections, engaging comprehension exercises, and tailored suggestions to improve reading fluency, understanding, analytical reasoning, and enduring information retention. Predictive analytics further forecast future literacy outcomes and suggest preemptive measures to tackle possible learning obstacles prior to their substantial impact on academic success. The innovation also features a cloud-based analytics dashboard that allows educators, guardians, educational leaders, and learning experts to track student progress, assess the efficacy of interventions, produce personalized literacy reports, and make data-driven instructional choices. The platform facilitates multilingual literacy education and can be utilized via web applications, mobile devices, tablets, desktop computers, and cloud environments, rendering it appropriate for schools, universities, special education facilities, libraries, and remote learning settings. The current invention offers a scalable, personalized, and technology-driven solution for improving reading abilities, cognitive literacy, learner involvement, and educational results by amalgamating artificial intelligence, cognitive learner modeling, adaptive content delivery, predictive learning analytics, and ongoing literacy assessment into a unified intelligent platform. The innovation promotes inclusive education, continuous learning, and future- oriented digital literacy programs by facilitating personalized training that adjusts responsively to the changing requirements of each student.
Disclaimer: Curated by HT Syndication.
