Published Paper Details:

As we know that India is called the world's largest democracy. In such a democratic country, voting plays a key role in electing government officials and reflects our vision of how a governing body should be formed. Surveys are conducted time to time to address difficulties in the central voting system so that it should be more anonymous, reliable and secure while preventing any type of fraud. Or the use of electronic voting, we have to deal with many problems of fraud and corruption. Currently, various researches are being conducted to create a safe and reliable voting system while addressing issues of anonymity and security. This paper implements a method that utilizes deep learning to work on smart voting system. This provides great protection in the sense that the most secure voter password is verified before a vote is received on the Indian Electoral Commission's main database and voters can verify that his or her vote has reached to correct participant of election. And the votes counting will be done automatically, thus saving a lot of time and the results can be announced in a very short time by the Indian Electoral Commission. The user verification process is enhanced by adding a face recognition to the app that will determine whether the voter is a certified user or not.