Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM23577
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
The electoral system has experienced many efficient changes within the past few decades. India, still directs its races utilizing either Secret Ballet Voting (SBV) or Electronic Voting Machines (EVM), the two of which include significant expenses, physical work and are wasteful.In the existing system, it verifies only identification proof, which made more chances for fake voting. So to overcome this problem, web- based smart voting system along with facial detection and recognition approach is used.Individual voters will be deemed eligible to vote once their identities have been verified. This is very fast and helpful technique to do the verification of the voters. All of the label pictures are trained using a convolutional neural network, which is the class of Artificial Neural Network (ANN) to anticipate the output by categorizing the photos in this technique On the database, data analysis will take place.
KEYWORDS
Publication Date
6/15/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...