The Smart Attendance System Mobile Application is developed to replace traditional manual attendance methods with a modern, secure, and automated solution. In many educational institutions, attendance is still recorded manually, which is time-consuming, error-prone, and allows proxy attendance. This project addresses these problems by introducing a smart system that verifies both the student’s identity and location before marking attendance. The system is built using Flutter for the mobile application and Firebase as a real-time database to store and manage all data. It supports three main users: Admin, Teacher, and Student, each having a separate dashboard with specific functionalities. The admin manages departments, subjects, students, timetable, and announcements. Teachers can schedule classes, define location and attendance radius, and monitor attendance records. Students can enroll in subjects, view schedules, and mark attendance using the mobile app. A key feature of this system is the integration of geofencing technology. The system checks the student’s live location and ensures that attendance can only be marked within a specific classroom radius defined by the teacher. This prevents students from marking attendance remotely or outside the class environment. After successful location verification, the system proceeds to identity verification using face recognition. Face recognition is implemented using a Raspberry Pi device connected with a camera. When a student attempts to mark attendance, the camera captures the student’s face, and a Python-based face recognition model compares it with stored facial data. Attendance is marked only if the face matches successfully. This two-step verification (location + identity) makes the system highly secure and reliable. The system also provides real-time updates through Firebase, allowing both teachers and students to view attendance records instantly. Notifications and email alerts are integrated to keep users informed about class schedules, subject assignments, and system updates. In case of hardware or connectivity issues, the system also includes a manual attendance option for teachers to ensure flexibility. Overall, this project combines mobile application development, cloud database, geolocation services, and computer vision technologies into one integrated system. It improves accuracy, reduces manual workload, prevents fraud, and provides a user-friendly platform for attendance management in educational institutions.