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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38321

Image-to-Text Scanning and Language Translation Android Application Using Machine Learning and Kotlin

Stream/Area:

-

Subject:

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Paper ID:

IJSREM38321

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

TS

Tanaya Sawant

DROG

Dr. Rakhi O. Gupta

MNG

Ms. Nashrah Gowalker

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Abstract

Mobile phones are the most used devices in today’s world. Applications that help us solve real-world problems make our lives easier. With hardware installed within them, they are no longer just transmission devices. Still, they can perform multiple complex tasks such as capturing images through a camera lens, recording high-quality videos, detecting live locations, and much more. Hence, it makes our lives simpler and much easier. Using advanced technology, we can scan text and recognize it. A key point here is that we can translate the extracted text into any language we choose. People from foreign countries find it difficult to communicate in a different to communicate in a different language. Keeping all this in mind, the proposed solution to this is an application that can scan an image, then detect and extract all the text from that image and provide it to the user using ICR technology which is a type of OCR technology and then also convert it into the language of the user’s choice, and this android application is implemented using Kotlin and Java programming language Therefore, proving it effective and useful for the user.

KEYWORDS

OCR technology ICR technology detect extract scan image translate Kotlin Java recognize live-location transmission real-world.

Cite This Article

Tanaya Sawant, Dr. Rakhi O. Gupta, Ms. Nashrah Gowalker, "Image-to-Text Scanning and Language Translation Android Application Using Machine Learning and Kotlin," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024.

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Publication Date

10/30/2024

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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