FROM EVM TO I-VOTING 2.0: HARNESSING AI IN DATA ANALYTICS FOR SECURE AND TRANSPARENT ELECTIONS

Out of India’s total population of 1.41 billion, the voter turnout in the Lok Sabha elections was 65.79%, while in the Maharashtra Assembly Elections, with a population of 127.68 million, the voter turnout was 65.11%. While these figures reflect commendable participation, challenges like long queues, interstate voting complexities, high training costs, and voter impersonation compromise the efficiency and security of Electronic Voting Machines (EVMs). India's ongoing digital transformation creates an opportunity to introduce Internet-based voting (I-voting) enhanced by AI-powered data analytics. By leveraging AI, I-voting can offer secure, transparent, and efficient electoral processes through features such as precise voter authentication, turnout prediction, and improved accessibility for remote voters. Drawing inspiration from Estonia, integrating AI with I-voting could revolutionize India’s democratic processes, ensuring inclusivity and trustworthiness. Primary data will be collected through surveys distributed among voters to assess their knowledge, attitudes, and potential adoption of I-voting, while secondary data will be sourced from government reports, academic research, and global case studies like Estonia to analyze the integration of AI in I-voting systems.