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Software Engineering / Mobile Application / AI-based System

Software Engineering / Mobile Application / AI-based System

This project is a Smart Attendance System Mobile Application designed to improve traditional attendance methods in educational institutions. The system uses Flutter for mobile app development and Firebase as a real-time database to manage data efficiently. It introduces advanced technologies such as face recognition and geofencing to ensure secure and accurate attendance marking. The system includes three main users: Admin, Teacher, and Student, each with their own dashboard and functionalities. Attendance is marked only when the student is physically present within a defined location and successfully verified through face recognition using a Raspberry Pi-based system. This dual verification helps prevent proxy attendance and reduces human errors. The application also provides real-time updates, notifications, and easy management of classes, subjects, and attendance records. Overall, the system offers a reliable, automated, and user-friendly solution for modern attendance management.

Smart Attendance System Mobile Application Flutter Firebase Face Recognition Raspberry Pi Geofencing Location-Based Verification Biometric System Computer Vision Student Attendance Real-Time Database AI Application
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Software Engineering / Mobile Application / AI-based System

Smart Attendance System Mobile Application Using Geofencing and Face Recognition

This project is a Smart Attendance System Mobile Application designed to improve traditional attendance methods in educational institutions. The system uses Flutter for mobile app development and Firebase as a real-time database to manage data efficiently. It introduces advanced technologies such as face recognition and geofencing to ensure secure and accurate attendance marking. The system includes three main users: Admin, Teacher, and Student, each with their own dashboard and functionalities. Attendance is marked only when the student is physically present within a defined location and successfully verified through face recognition using a Raspberry Pi-based system. This dual verification helps prevent proxy attendance and reduces human errors. The application also provides real-time updates, notifications, and easy management of classes, subjects, and attendance records. Overall, the system offers a reliable, automated, and user-friendly solution for modern attendance management.

Smart Attendance System Mobile Application Flutter Firebase