MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202521124676 A) filed by Desai Neel Sachin; and Deshkar Sukhada Jitendra, Hatkanangale, Maharashtra, on Dec. 10, 2025, for 'akritai-ai-enabled writing pad & stylus for students with special learning disabilities.'

Inventor(s) include Gaikwad Vijay Dattatray; Desai Neel Sachin; Deshkar Sukhada Jitendra; and Deshmukh Kshitij Amit.

The application for the patent was published on April 17, under issue no. 16/2026.

According to the abstract released by the Intellectual Property India: "This paper presents AkritAI, an Al-enabled handwriting assistance system designed for learners with Specific Learning Disabilities (SLDs), including dyslexia and dysgraphia. The system integrates a 5-inch resistive-touch writing interface with a Raspberry Pi 5-based real-time recognition engine that captures stylus strokes and classifies handwritten characters with high temporal and spatial precision. A custom ImprovedCNN model-comprising four convolutional blocks and a lightweight fully connected classifier-was trained on a combined corpus of 226,000 character images sourced from EMNIST, MNIST, the Gambo dataset, and dyslexia-specific handwriting datasets. The model achieves 93.73% classification accuracy and is optimized for efficient on-device inference using CPU-only PyTorch deployment. AkritAI provides multimodal corrective feedback, including visual correction of reversed, misoriented, or structurally distorted characters, phonetic audio guidance to support letter-sound association, and optional haptic feedback through a paired mobile device to reinforce correct writing patterns. The companion mobile application offers real-time performance tracking, weekly progress analytics, motivational badges, streak-based engagement features, and a parent dashboard that highlights accuracy trends, frequent error categories, and individualized practice recommendations. By combining deep-learning-based handwriting analysis with adaptive, multisensory feedback, AkritAI enhances writing accuracy, improves learner engagement, and supports data-driven monitoring for early intervention. The system demonstrates the feasibility of a low-cost, on-device Al framework for personalized handwriting support in students with SLDs."

Disclaimer: Curated by HT Syndication.