Proceedings of the 6th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR 2024)

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Decentralized Voting Application Using Blockchain Technology

Authors
Jayshree Ghorpade-Aher1, *, Nishad Dhodapkar1, Atharva Rajpurkar1, Aayush Bhuvad1, Mrutyunjay Patil1
1Dr. Vishwanath Karad MIT World Peace University, Pune, India
*Corresponding author. Email: jayshree.aher@mitwpu.edu.in
Corresponding Author
Jayshree Ghorpade-Aher
Available Online 25 June 2025.
DOI
10.2991/978-94-6463-740-3_29How to use a DOI?
Keywords
Decentralized Voting; Blockchain Technology; Smart Contracts; React.js; Solidity; MetaMask
Abstract

The objective of the project is to create an advanced decentralized voting application, using blockchain technology to deliver a secure, transparent, and tamper-proof voting system. By exploiting the immutable and decentralized properties of blockchain, the application seeks to improve the trustworthiness and the integrity of elections. The front-end will be developed with React.js which ensures a responsive and interactive user interface. Meanwhile, the back-end will leverage Solidity for writing smart contracts, which will be deployed on an Ethereum-based blockchain. These smart contracts will handle crucial voting functionalities, such as voter authentication, vote casting, and result compilation, ensuring all transactions are both secure and verifiable. To connect the user interface with the blockchain, Ethers.js will be used. This library enables the React.js application to interact with the deployed smart contracts. Additionally, MetaMask will be integrated to manage blockchain addresses and facilitate secure interactions between the user’s browser and smart contracts. The entire application will operate directly within the user’s web browser, offering a fully decentralized and seamless voting experience. This architecture not only ensures a secure voting framework but also makes the voting process more accessible and user-friendly for participants.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 6th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR 2024)
Series
Advances in Intelligent Systems Research
Publication Date
25 June 2025
ISBN
978-94-6463-740-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-740-3_29How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jayshree Ghorpade-Aher
AU  - Nishad Dhodapkar
AU  - Atharva Rajpurkar
AU  - Aayush Bhuvad
AU  - Mrutyunjay Patil
PY  - 2025
DA  - 2025/06/25
TI  - Decentralized Voting Application Using Blockchain Technology
BT  - Proceedings of the 6th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR 2024)
PB  - Atlantis Press
SP  - 334
EP  - 348
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-740-3_29
DO  - 10.2991/978-94-6463-740-3_29
ID  - Ghorpade-Aher2025
ER  -