• Sathish Kumar M
  • Gokul Ajay M S
  • Vijay S P
  • Ramadoss R



Fingerprint,Capacitive touch key and Ethernet Transciever


Elections casts an ennobling influence on the minds of people and forms the prominent feature of our country-India, in which every individual participates vigilantly and the populace remains the sovereign power. This project proposes an innovative idea that aims to construct an electronic voting machine with internet connection capability that would enable voters to cast their vote from anywhere on the planet called remote voting process. The device has biometric sensor to verify the voters integrity that leads to a much more secured local voting process than the existing one. In addition to this, the device comes with capacitive touch keys and mp3 quality audio to aid visually impaired or illiterate people to cast their vote independently.


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Author Biographies

Sathish Kumar M

Dept of Electronic Communication and Engineering, Sri Muthukumaran Institute of Technology Chennai, India.

Gokul Ajay M S

Dept of Electronic Communication and Engineering, Sri Muthukumaran Institute of Technology, Chennai, India.

Vijay S P

Dept of Electronic Communication and Engineering, Sri Muthukumaran Institute of Technology, Chennai, India

Ramadoss R

Assistant Professor, Department of ECE, Sri Muthukumaran Institute of Technology, Chennai, India.


[1]. R. Agrawal and E. L. Wimmers. A Framework for Expressing and Combining Preferences”. In SIGMOD ’00: Procs of the 2000 ACM SIGMOD international conference on Management of data, pages 297–306, New York, NY, USA, 2000. ACM.

[2]. Andreadis. Voting advice applications: a successful nexus between informatics and political science. In Proceedings of the 6th Balkan Conference in Informatics, pages 251–258. ACM, 2013.

[3]. S. Borzsony, D. Kossmann, and K. Stocker. The skyline operator. In Procs of the 17th International Conference on Data Engineering (ICDE’2001), pages 421–430. IEEE, 2001.

[4]. E. G. Carmines and J. A. Stimson. The two faces of issue voting. The American Political Science Review, pages 78–91, 1980.

[5]. Z. Enyedi. The influence of voting advice applications on preferences, loyalties and turnout: An experimental study. Political Studies, pages 1467–9248, 2015.

[6]. P. Fafalios and Y. Tzitzikas. Exploratory Professional Search through Semantic Post-Analysis of Search Results. In Professional Search in the Modern World, volume 8830 of Lecture Notes in Computer Science, pages 166–192. Springer, 2014.

[7]. L. Faulkner. Beyond the five-user assumption: Benefits of increased sample sizes in usability testing. Behavior Research Methods, Instruments, & Computers, 35(3):379–383, 2003.

[8]. S. Ferr´e. Expressive and scalable query-based faceted search over sparql endpoints. In The Semantic Web–ISWC 2014, pages 438–453.
Springer, 2014.

[9]. P. Fishburn. ”Utility Theory for Decision Making”. Wiley, New York, 1970. [11] P. C. Fishburn. Utility theory for decision making. Technical report, DTIC Document, 1970.

[10]. M. Germann, F. Mendez, J. Wheatley, and U. Serd¨ult. Spatial maps in voting advice applications: The case for dynamic scale validation. Acta Politica, 50(2):214–238, 2015.

[11]. F. Hirzalla and L. van Zoonen. Online voting advice applications: foci, findings and future of an emerging research field, pages 87–103. Edward Elgar Publishing, Inc., Cheltenham, UK, 2015.

[12]. Kaskina and A. Meier. Integrating privacy and trust in voting advice applications. In 2016 Third International Conference on eDemocracy & eGovernment (ICEDEG), pages 20–25. IEEE, 2016.

[13]. Katakis, N. Tsapatsoulis, F. Mendez, V. Triga, and C. Djouvas. Social voting advice applications - definitions, challenges, datasets and evaluation. IEEE Transactions on Cybernetics, 44(7):1039–1052, 2014.