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@article{188835,
        author = {Kartik Prabhakar Handekar and Nakul Rakesh Ambatkar and Chirag Dilip Chaudhari and Yash Shriram Jathade and Tushar Kumod Khanke},
        title = {"FINGERPRINT ATTENDANCE SYSTEM WITH CLOUD STORAGE"},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3573-3576},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188835},
        abstract = {The Fingerprint Attendance with Cloud Storage offers a secure and automated solution for tracking attendance in workplaces and educational institutions. It uses an Arduino UNO with an ZA620_M5 Fingerprint Sensor for user authentication and a ESP32 microcontroller to log accurate timestamps. A 18x14mm OLED provides real-time feedback, while push buttons allow for user enrollment. The system eliminates proxy attendance and manual errors, enhancing reliability and efficiency. It is cost-effective, userfriendly, and ideal for environments requiring secure access control. Overall, it provides real-time, accurate attendance management through fingerprint recognition.},
        keywords = {},
        month = {December},
        }