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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26285

VisiAssist: “Android-based Visual Aid and Health predictor”

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM26285

Volume:

7 |

10 |

Oct 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

PP

Pranjali Patil

VK

Vivek Kakade

VD

Vaishnavi Dhakane

PSJ

Prof. Supriya Jagtap

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Abstract

This innovative application is built for the visually challenged people. By using algorithms to analyze the camera feed and identify objects within the user’s environment. The application be able to identify a diverse range of objects commonly found in everyday scenarios, such as furniture, obstacles, vehicles, people, and more. The detected objects are then be translated into auditory feedback, which the user can interpret and understand without needing to rely solely on visual cues.

KEYWORDS

Android application YOLOv3 algorithm object detection

Cite This Article

Pranjali Patil, Vivek Kakade, Vaishnavi Dhakane, Prof. Supriya Jagtap, "VisiAssist: “Android-based Visual Aid and Health predictor”," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 10, Oct 2023. https://doi.org/10.55041/IJSREM26285

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Publication Date

10/24/2023

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

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

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