This study addresses the inefficiencies in Madridejos Community College's (MCC) manual Supreme Student Council (SSC) election process by developing an optimized digital voting system aimed at enhancing transparency, accuracy, and student participation. The manual election process has long been plagued by delays, inaccuracies, and the absence of a unified platform for data management, leading to decreased trust in the system and reduced student engagement. To overcome these challenges, the proposed digital voting system incorporates several advanced features, including real-time data tracking, predictive modeling for enhanced decision-making, automated voter and candidate management, and cloud-based accessibility for broader reach and reliability. The system was designed using the Agile development methodology, ensuring iterative improvements based on regular feedback from stakeholders. Its effectiveness was evaluated against ISO/IEC 25010 standards for software quality, with specific focus on functionality, security, reliability, and usability. The system’s key functionalities include real-time vote tallying, mobile accessibility, and an intuitive user interface, providing convenience and transparency for both election administrators and student voters. Feedback from IT experts confirmed the system’s high functionality and user-friendliness, highlighting strengths such as efficient data processing and instant results. Minor improvements were suggested, such as enhancing navigation features, but these do not detract from the system’s overall performance. Ultimately, the optimized SSC Voting System significantly improves election management, delivering accurate results, fostering trust, and increasing student participation. It also offers a scalable and replicable solution for other educational institutions facing similar election challenges.