Paper Title
Enhanced Sign Language Translator to English Alphabets using Artificial Intelligence
Article Identifiers
Authors
Ramanagiri Asokan , MUKUNTHAN M , Dr.G.Balamurugan
Keywords
Long Short-Term Memory (LSTM), Artificial Intelligence Markup Language (AIML
Abstract
The Sign Language Recognizer and Translator using AIML in LSTM Algorithm is an innovative project aimed at bridging communication barriers for deaf or mute individuals. Utilizing advanced deep learning techniques like Long Short-Term Memory (LSTM) and Artificial Intelligence Markup Language (AIML), this system provides a solution to enhance instantaneous communication between sign language users and the wider community. The project encompasses data collection, preprocessing, model selection, training, and integration with AIML for seamless interaction. Through a user-friendly interface, the system interprets sign language gestures, translates them into text or speech, and enables meaningful dialogue between users with different communication abilities. The development process prioritizes inclusivity, ethical considerations, and user feedback to ensure the effectiveness and accessibility of the final product. This endeavor has the capacity to greatly improve the lives of individuals who are deaf or mute, enabling them to engage and communicate proficiently in diverse social settings.
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How To Cite (APA)
Ramanagiri Asokan, MUKUNTHAN M, & Dr.G.Balamurugan (April-2024). Enhanced Sign Language Translator to English Alphabets using Artificial Intelligence. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g518-g521. https://ijnrd.org/papers/IJNRD2404661.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : g518-g521
Other Publication Details
Paper Reg. ID: IJNRD_219519
Published Paper Id: IJNRD2404661
Downloads: 000121980
Research Area: Computer Science & TechnologyÂ
Country: mayiladutharai(Dt), Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404661.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404661
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