Paper Title
User Authentication for Online Voting System by using Machine Learning Techniques
Article Identifiers
: Keywords
Keywords— Online voting system, Firebase, ML, Face detection, Biometrics.
Abstract
User Authentication for Online voting system is an Android application used to securely conducting votes and elections. As a digital platform, they eliminate the need to cast your votes using paper or having to gather in person. It also helps to protect the integrity of vote by preventing voters from being able to vote many times. This application make the use of Firebase as backend, for login, registration and for storage purpose which make our system highly secured and reliable. It also uses Firebase, ML for face detection which allows us to vote, one person at a time. This application helps in the verification of biometrics through finger print sensor. Keywords— Online voting system, Firebase, ML, Face detection, Biometrics.
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How To Cite (APA)
Sakshi Ahlawat, Pulkit Aggarwal, Saurabh Rai, Rajveer Singh, & Ashwini Kumar Verma (May-2022). User Authentication for Online Voting System by using Machine Learning Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 812-815. https://ijnrd.org/papers/IJNRD2205091.pdf
Issue
Volume 7 Issue 5, May-2022
Pages : 812-815
Other Publication Details
Paper Reg. ID: IJNRD_181443
Published Paper Id: IJNRD2205091
Downloads: 000122254
Research Area: Computer EngineeringÂ
Author Type: Indian Author
Country: Gautam Buddha Nagar, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2205091.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205091
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