International Journal on Science and Technology
E-ISSN: 2229-7677
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Volume 16 Issue 4
October-December 2025
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Sign Language Interpreter AI using machine learning algorithm
| Author(s) | Mr. Piyush Pardesi, Mr. Prince Kumar, Dr. Madhumita K |
|---|---|
| Country | India |
| Abstract | For people who are deaf or hard of hearing, sign language interpreters are essential in removing communication barriers. Their main duty is to mediate communication between persons who use sign language and others who rely on verbal or written language. This crucial function is present in a variety of contexts, such as meetings for business, court cases, medical appointments, educational settings, and daily encounters. Sign language interpreters have a thorough knowledge of both sign language and the intended spoken or written language. They are adept at communicating not only the words but also the subtleties, feelings, and cultural context of the conversation. Thorough training, certification, and ongoing professional development are required for this skill. The value of sign language interpreters goes beyond simple translation; They serve as interpreters and fill gaps in accessibility and inclusiveness. Interpreters give deaf and hard-of-hearing people the same access to social interactions, economic possibilities, healthcare, and other opportunities as hearing people by facilitating successful communication. Sign language interpreters act as catalysts for a more open and just society in a world that cherishes variety and inclusivity. Their dedication to facilitating communication increases respect for one another, lessens prejudice, and builds a feeling of community for the deaf and hard-of-hearing population. |
| Keywords | Sign Language Recognition, Sign Language Interpreter, I3D Inception, 3D Convolutional Neural Network (3D CNN) |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-11-16 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i4.9437 |
| Short DOI | https://doi.org/hbbmzs |
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IJSAT DOI prefix is
10.71097/IJSAT
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