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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Enhanced Sign Language Translator to English Alphabets using Artificial Intelligence |
| Authors Name: | Ramanagiri Asokan , MUKUNTHAN M , Dr.G.Balamurugan |
| Download E-Certificate: | Download |
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IJNRD_219519
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| Published Paper Id: | IJNRD2404661 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| 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. |
| Keywords: | Long Short-Term Memory (LSTM), Artificial Intelligence Markup Language (AIML |
| Cite Article: | "Enhanced Sign Language Translator to English Alphabets using Artificial Intelligence", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g518-g521, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404661.pdf |
| Downloads: | 00065 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404661 Registration ID: 219519 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: g518-g521 Country: mayiladutharai(Dt), Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404661 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404661 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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