SMART ATTENDANCE SYSTEM

The SVERI’s College Smart Attendance System will be a web-based and desktop-enabled application designed to automate and simplify the process of student attendance management in colleges. The system will provide an efficient solution to replace the traditional manual attendance process, reducing errors, duplication, and time consumption. This system will be developed using Python with the Flask framework for backend operations and HTML and CSS for the frontend user interface. Student, staff, timetable, and attendance data will be securely stored using JSON files. The application will support staff login, allowing each staff member to mark attendance for their respective lecture sessions. A session-based attendance mechanism will ensure that attendance marked within a specific time window will be treated as a single session, preventing duplicate entries. An important feature of this system will be the integration of Artificial Intelligence (AI). Using a Logistic Regression algorithm, the system will predict the probability of a student’s future attendance based on historical data. It will also identify irregular students who remain absent frequently and will calculate individual attendance percentages. Additional features will include date- wise and staff-wise attendance search, attendance summaries, missed attendance detection, and print- ready reports. Overall, the Smart Attendance System will enhance accuracy, transparency, and efficiency in attendance management, making it a reliable and modern solution for educational institutions.