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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 6
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Impact Factor : 8.14
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| Paper Title: | Agentic AI-Based Sign Language Translation Using Multi-Agent Architecture |
| Authors Name: | Khushbu Mahale , Vedant Sawant , Shardul Mane , Neha Nandurkar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212391
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| Published Paper Id: | IJRTI2605062 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | https://doi.org/10.56975/ijrti.v11i5.212391 |
| Abstract: | Sign language is essential for facilitating communication among individuals with hearing and speech disabilities. Nevertheless, communication hurdles persist as many people lack knowledge of sign language, and automated translation tools have not reached their full potential. Recent progress in artificial intelligence, computer vision, and natural language processing has led to the creation of advanced systems that can convert spoken or written language into sign language. This paper proposes an Agentic AI–based text-to-sign language translation system that converts natural language sentences into animated sign language representations using a multi-agent architecture. The proposed framework consists of several intelligent agents responsible for text understanding, gloss translation, motion retrieval, and animation generation. The system first processes user text input and applies natural language processing techniques to detect sentence intent and normalize grammatical structures. A gloss translation agent converts the processed text into Indian Sign Language gloss representation, which is then used by a motion lookup agent to retrieve corresponding sign pose sequences. The motion data is processed and mapped to a 3D avatar skeleton using a Blender-based animation pipeline to generate realistic sign language animations. By combining Agen-tic AI decision making with motion-based sign representation, the system enables scalable and modular sign language translation. The proposed approach aims to improve accessibility for hearing-impaired individuals while providing an interactive web-based communication platform. |
| Keywords: | Agentic AI, Sign Language Translation, Natural Language Processing, Gesture Recognition, Computer Vision, 3D Avatar Animation Introduction |
| Cite Article: | "Agentic AI-Based Sign Language Translation Using Multi-Agent Architecture", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a503-a509, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605062.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2605062
Registration ID:212391
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v11i5.212391
Page No: a503-a509 Country: Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605062 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605062 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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