A QR Code Attendance System And Management

This paper details the design and implementation of the QR Attendance System, a contemporary, web-based solution intended to modernize and streamline student attendance management. The system is engineered around a mobile-first, dark-mode user interface (UI) developed using React.js and TailwindCSS, ensuring optimal usability and speed via device camera scanning (html5-qrcode). The back-end, powered by Flask/Python, processes attendance in realtime, applying a key feature: configurable, time-based logic to categorize status as On Time, Late, or Very Late. Attendance records are stored in a simple, portable CSV format for easy data manipulation and reporting. This architecture prioritizes cost-effectiveness, high performance, and institutional policy adherence, presenting an efficient alternative to traditional and more complex biometric attendance methods. its scalability and performance optimization, the system prioritizes cost-effectiveness, security, and maintainability by relying on open-source technologies and lightweight architecture. Thssis approach significantly reduces infrastructure complexity while maintaining high accuracy and reliability in data processing. Comparative analysis with traditional biometric, RFID, and manual attendance methods highlights the proposed system's superiority in terms of deployment speed, adaptability, and user engagement. Furthermore, the system supports institutional customization, enabling administrators to configure academic schedules, attendance thresholds, and reporting periods. Future enhancements may include cloud-based data storage, machine learning-driven analytics for attendance trend prediction, and integration with Learning Management Systems (LMS) for automated grading and participation tracking.