Paper Title
DIGITAL VOTING SYSTEM USING MACHINE LEARNING
Article Identifiers
Registration ID: IJNRD_217981
Published ID: IJNRD2404287
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Keywords
Authentication, Facial Recognition, Ballet Paper, Electronic Voting Machines, Haar-Cascade, Voters.
Abstract
A new authentication technique is discussed i.e. facial recognition verification for online voting systems. In India, currently there are two types of voting system in practice. They are Secret Ballet paper and Electronic Voting Machines (EVM)But both of the process have some limitation or demerits. In India online voting has not been implemented yet. The current voting system is not safe and secure too. The electorate want to visit distinct locations like polling cubicles and stand in an extended queue to cast their vote, because of such reasons most of the people skip their chance of voting. The voter who isn't eligible also can forge its vote via faux way which can also additionally cause many problems. That's why in this project we have proposed a system or way for voting which is very effective or useful in voting. This system can also save money from the government which is spent in the election process. Over all this project is being developed to help staff of the election commission of India and also reduce the human efforts. So, this new technique aims to develop a computerized voting system to make the election process more secure and user friendly.
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How To Cite (APA)
GOLLU TEJA, L. DINESH, N. JYOTHSNA, U. BHUVANESWARI, & P. BHARGHAVI, DHANNANI SAI PRANEETH KUMAR (April-2024). DIGITAL VOTING SYSTEM USING MACHINE LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c485-c490. https://ijnrd.org/papers/IJNRD2404287.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : c485-c490
Other Publication Details
Paper Reg. ID: IJNRD_217981
Published Paper Id: IJNRD2404287
Research Area: Engineering
Author Type: Indian Author
Country: Vizianagaram, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404287.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404287
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