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Author(s):

Maheshwari R | Thilagan S | Dabbara Ganesh | Pradeep R
Keywords:

Online Attendance, Artificial Intelligence, Database Management, Data Analysis, Automation, Cloud Stor- Age, Filtration Algorithms.
Abstract:
In Recent Years, Educational And Corporate Institu- Tions Have Begun Transitioning To Automated Attendance Man- Agement Systems Driven By Digital Technologies. This Paper Proposes An Intelligent Online Attendance Register Integrated With A Personal Details Database And An Artificial Intelligence (AI) Module For Automated Data Analysis And Filtration. The System Is Designed To Ensure Data Accuracy, Reduce Manual Intervention, And Offer Deep Analytical Insights Regarding Attendance Patterns, Employee Performance, And Academic Discipline. This Research Emphasizes The Combination Of Database Technologies, Machine Learning Algorithms, And Data Filtration Models To Optimize Record Management And Decision-making Processes. The Pro- Posed Framework Provides A Scalable, Secure, And Adaptive System Suitable For Large Organizations, Universities, And Online Learning Platforms.