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PollX—Polling Assistant

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Computational Intelligence in Machine Learning (ICCIML 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1106))

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Abstract

India is a sovereign, socialist, and secular country where democracy is a form of government in which citizens exercise power by voting. Polling is the survey of a particular group of people who cast votes in an election. The existing election process is carried out using ballot paper which leads to the use of a huge amount of papers, cutting down of trees, and requires more labor and this process is comparatively slow. Along with this, there are few systems that support online voting, but these applications have few drawbacks and lack of features. The present system of conducting elections and processing polling consumes considerable manpower and time with a lot of dependencies for handling election booths, polling stations, and processes. This article presents a prototype to develop the mobile application for instantaneous communication to display vote count and present graphical analysis of polling data. It will display the male, female, and total vote count of each polling booth to their respective zonal officers through a mobile application for the purpose of saving time and the rapid appearance of data. PollX Assistant is a cross platform application which creates flexibility for officers to access the application on multiple operating systems. It gives simplicity, user-friendly navigation and provides security in the form of confidentiality, integrity, and non-repudiation to the polling data. It shares data faster between different officers, automates various tasks, and generates reports and graphs. This model would help to have a faster and secure communication between officers and to keep proper track of vote counts. PollX Assistant is a fast, secure, and reliable alternative to existing systems.

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References

  1. Kumar S, Walia E (2011) Analysis of electronic voting system in various countries. Intl J Comput Sci Eng (IJCSE) 3(5):1825–1830

    Google Scholar 

  2. EG Poll Counting (2019) Dreamstep Software Innovations Pvt Ltd. https://play.google.com/store/apps/details?id=com.election.dreamstep

  3. Poll Manager (2019) National Informatics Centre

    Google Scholar 

  4. Khorakiwala R (2014) The Indian Electoral Process and Negative Voting. Law Rev 8. https://ssrn.com/abstract=3227842

  5. Choudhari L, Savla N, Pathak V (2015) On what basis indian people vote. Intl J Human Social Sci Invent 4(5):43–48

    Google Scholar 

  6. Handbook for Presiding Officers (2018) https://eci.gov.in/files/file/8993-handbook-for-presiding-officers-october-2018/

  7. Election Material. https://www.polyas.com/election-material/election-committee

  8. Electronic Voting in India. https://en.wikipedia.org/wiki/Electronic_voting_in_India

  9. Buckley F, Reidy T (2015) Ballot paper design: evidence from an experimental study at the 2009 local elections

    Google Scholar 

  10. Agarwal H, Pandey GN (2014) Online voting system for India based on AADHAAR ID. In: 2013 Eleventh International Conference on ICT and Knowledge Engineering

    Google Scholar 

  11. Kamble AOM (2022) Google assistant based device control. Int J Aquat Sci 13(1):550–555

    MathSciNet  Google Scholar 

  12. Kashid MM, Karande KJ, Mulani AO (2022) IoT-based environmental parameter monitoring using machine learning approach. In: Kumar A, Ghinea G, Merugu S, Hashimoto T (eds) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore

    Google Scholar 

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Correspondence to Suhas G. Sapate .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shah, N., Sapate, S.G., Pradnyavant, A., Kamble, V., Mulla, A. (2024). PollX—Polling Assistant. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_38

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