International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

AI - Powered Interactive Sign Language Learning Assistant

Author(s) T. Ramya Sri, M. Sowjanya, M. Soukya, A. Praveena
Country India
Abstract Effective communication between hearing individuals and the Deaf community requires accessible and practical methods for learning Indian Sign Language (ISL). However, many existing learning resources rely on static materials and lack interactive support, making it difficult for beginners to understand the structure, movement, and grammar of sign language. These limitations reduce engagement and slow down the learning process. This paper proposes a smart and interactive Sign Language Learning Assistant that leverages modern technologies to improve ISL education. The system allows users to provide input via both speech and text, enabling natural, flexible interaction. Spoken input is converted into text using real-time speech recognition, after which a language processing module transforms the content into ISL-compatible grammatical structure. This ensures that learners receive meaningful and linguistically accurate outputs. To support skill development, the system generates detailed voice-based instructions describing how signs are performed, including hand positioning and movement flow. The platform also includes features such as progress tracking, practice modules, and learning resources to enhance user engagement and retention. By combining speech processing, natural language understanding, and audio guidance on a unified platform, the proposed system offers a user- friendly, scalable solution for ISL learning. The approach aims to simplify the learning experience, improve comprehension, and encourage wider adoption of sign language, thereby contributing to more inclusive communication.
Keywords Indian Sign Language (ISL), Speech Recognition, Natural Language Processing (NLP), Assistive Learning Systems, Human-Computer Interaction
Field Engineering
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-04-06

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