Published Paper Details:

Student council elections play a vital role in promoting leadership, representation, and democratic culture within educational institutions. However, traditional election methods often face challenges such as manual vote counting, impersonation, biased practices, data tampering, and lack of transparency. To address these concerns, this paper presents VoteChain, a secure and intelligent web-based student council election platform that integrates Artificial Intelligence (AI), Machine Learning (ML), and blockchain-inspired ledger mechanisms. The system ensures reliable voter authentication using AI-driven facial or ID verification, encrypted vote processing for privacy, and ML-based fraud detection to identify anomalous or duplicate voting patterns. Additionally, a blockchain-like immutable vote recording system enhances trust and transparency by preventing unauthorized data manipulation. The platform also features a real-time analytics dashboard for vote monitoring, participation insights, and instant result visualization. Experimental evaluation demonstrates that VoteChain significantly improves election integrity, reduces human intervention, accelerates result generation, and encourages wider student participation. This research contributes towards developing a modern, transparent, and secure digital election ecosystem tailored for academic institutions.