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@article{169611,
        author = {Dr Abhijit J. Patankar and Shreya Navnath Kachare and Keshavi Shashikant Pawar and Laxmi Atmaram Padghan},
        title = {Attendance Management Using Face Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1774-1780},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169611},
        abstract = {This survey studies the state of automated attendance using AI and computer vision, especially face detection and recognition on mobile and web platforms. This includes how to set up the application with various frameworks like Flutter for the development, Firebase for services on the back-end and OpenCV for image processing. This study includes discussion of various techniques of face recognition in real time along with the database management technique and design of the interface for users. In addition to accuracy, scalability, and privacy, possible solutions to and future research on these challenges are discussed. With such a complete overview, developers and researchers will be directed toward creating effective and dependable automated attendance systems.},
        keywords = {Automated Attendance System, Face Recognition, Real-Time Processing, Flutter, Firebase, OpenCV, Cross-    Platform Development, Computer Vision.},
        month = {November},
        }