MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621066974 A) filed by Pimpri Chinchwad College Of Engineering, Pune; Parth Darda; Gaurang Joshi; Uday Lingayat; Soham Sapkal; Mrs. Babita Ritesh Jane; and Dr. Jayashree V. Katti on May 28, 2026, for An Offline Adaptive Braille Learning System.
Inventors include Parth Darda; Gaurang Joshi; Uday Lingayat; Soham Sapkal; Mrs. Babita Ritesh Jane; and Dr. Jayashree V. Katti.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT AN OFFLINE ADAPTIVE BRAILLE LEARNING SYSTEM An offline adaptive Braille learning system (100) comprises a tactile input interface (102) with Braille input actuators, a processing unit (104), and a memory (106) storing Braille mappings and user-specific skill profiles. A biometric authentication module (108) enables selection of a user profile. A decoding module (110) interprets input into Braille characters, and a deterministic rule-based evaluation engine (112) computes performance metrics including accuracy, response time, and error type. An adaptive control engine (114) selects subsequent input tasks based on a confidence score derived from said metrics. An audio feedback module (116) provides real-time correctness and error-based feedback, and a local storage module (118) updates the user profile. The system (100) operates in a closed-loop cycle of input, decoding, evaluation, adaptation, feedback, and profile update, entirely on-device without network dependency, enabling deterministic and personalized Braille learning. FIG. 1 will be the reference figure.
Disclaimer: Curated by HT Syndication.
