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.
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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 -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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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.