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
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJSAT
Upcoming Conference(s) ↓
Conferences Published ↓
ALSDAHW-2025
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 17 Issue 2
April-June 2026
Indexing Partners
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 |
Share this

CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.