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Paper Title

SIGN LANGUAGE RECOGNITION APP

Authors

Mokshak Ketan Dagli , Dr Preeti Savant

Keywords

flutter, tensor flow lite, teachable machine, TTS, cross-platform application

Abstract

It is very difficult for all the people living in the society to communicate with, the specially able people, mainly deaf and dumb. To remove the hindrance of people not able to understand the Sign Language this is a solution that we have come up with. This is a mobile application which developed using the Flutter and Dart framework with the help of different packages like tensor flow lite, teachable machine, camera, TTS, etc. The main objective of this idea is to convert the Sign Language into a human-readable and understandable format which is text and speech. This paper is all about the way this application is developed, and the various technologies used in developing the application.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"SIGN LANGUAGE RECOGNITION APP", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 4, page no.78 - 83, April-2022, Available :https://ijrti.org/papers/IJRTI2204014.pdf
APA — 7th edition
Dagli, M. K., & Savant, P. (2022). SIGN LANGUAGE RECOGNITION APP. International Journal for Research Trends and Innovation, 7(4), 78 - 83. https://ijrti.org/viewpaperforall.php?paper=IJRTI2204014
MLA — 9th edition
Dagli, Mokshak Ketan, and Preeti Savant. "SIGN LANGUAGE RECOGNITION APP." International Journal for Research Trends and Innovation, vol. 7, no. 4, 2022, pp. 78 - 83, https://ijrti.org/viewpaperforall.php?paper=IJRTI2204014.
Chicago — 17th, bibliography
Dagli, Mokshak Ketan, and Preeti Savant. "SIGN LANGUAGE RECOGNITION APP." International Journal for Research Trends and Innovation 7, no. 4 (2022): 78 - 83. https://ijrti.org/viewpaperforall.php?paper=IJRTI2204014.
Harvard — author–date
Dagli, M.K. and Savant, P. (2022) 'SIGN LANGUAGE RECOGNITION APP', International Journal for Research Trends and Innovation, 7(4), pp. 78 - 83. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2204014
IEEE — numbered reference
M. K. Dagli and P. Savant, "SIGN LANGUAGE RECOGNITION APP," IJRTI, vol. 7, no. 4, pp. 78 - 83, Apr. 2022.
Vancouver — biomedical
Dagli MK, Savant P. SIGN LANGUAGE RECOGNITION APP. IJRTI. 2022 Apr;7(4):78 - 83.
AMA — 11th edition
Dagli MK, Savant P. SIGN LANGUAGE RECOGNITION APP. IJRTI. 2022;7(4):78 - 83. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2204014
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2204014, author = {Mokshak Ketan Dagli and Preeti Savant}, title = {SIGN LANGUAGE RECOGNITION APP}, journal = {International Journal for Research Trends and Innovation}, volume = {7}, number = {4}, pages = {78 - 83}, year = {2022}, month = {April}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2204014} }
RIS — EndNote, RefWorks
TY - JOUR AU - Dagli, Mokshak Ketan AU - Savant, Preeti TI - SIGN LANGUAGE RECOGNITION APP T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 7 IS - 4 PY - 2022 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2204014 SP - 78 EP - 83 ER -

Issue

Volume 7 Issue 4, April-2022
Pages : 78 - 83

Other Publication Details

Paper Reg. ID IJRTI_181749
Published Paper ID IJRTI2204014
Downloads 205,623
Research Area Computer Science & Technology 
Country Ernakulam, Kerala, India
Published April 2022

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 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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Licence

© 2022 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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