Intellectual Property India Publishes Patent Application for 'AI-Powered Cognitive Assessment And Adaptive Learning Disability Detection System For Children' Filed by Mokashi Asma Allikhan; Mrs. Amruta Pratik Awati; Mrs. Priyanka Sushant Patil; Dr. Anita Vikram Shinde; and Ms. Vandana Shivaji Rupnar

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202621005481 A) filed by Mokashi Asma Allikhan; Mrs. Amruta Pratik Awati; Mrs. Priyanka Sushant Patil; Dr. Anita Vikram Shinde; and Ms. Vandana Shivaji Rupnar, Pune, Maharashtra, on Jan. 19, for 'ai-powered cognitive assessment and adaptive learning disability detection system for children.'

Inventor(s) include Mokashi Asma Allikhan; Mrs. Amruta Pratik Awati; Mrs. Priyanka Sushant Patil; Dr. Anita Vikram Shinde; and Ms. Vandana Shivaji Rupnar.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "An AI-powered cognitive assessment and adaptive learning system NeuroBloom is designed to detect early signs of dyslexia, dysgraphia, and dyscalculia in children. Conventional diagnostic practices require expert evaluation, lengthy assessments, and specialized infrastructure, leading to delayed diagnosis and limited accessibility. NeuroBloom overcomes these limitations by integrating multimodal machine learning, deep learning, NLP, and gamified cognitive tasks into a unified diagnostic and learning platform. The system comprises two major modules: (1) an Adaptive Assessment Module that analyzes reading fluency, numerical reasoning, handwriting patterns, and cognitive responses using AI models; and (2) a Personalized Learning Path Module that generates real-time, child-specific interventions using dynamic difficulty adjustment. Advanced feature extraction identifies patterns in phoneme decoding, visuomotor coordination, numerical processing, attention stability, and cognitive load. NeuroBloom provides a web-based, child-friendly interface enabling students, teachers, and parents to access early screening, longitudinal progress analytics, and targeted exercises. With high predictive accuracy and automated learning support, NeuroBloom introduces a novel, scalable, and inclusive approach for cognitive growth and early disability detection."

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