Authors : Sanskruti Salunkhe; Aditi Thombe; Sushma Gunjal; Nikhil Harde; Chaitanya Kamble

Volume/Issue : Volume 11 - 2026, Issue 5 - May

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Google Scholar : https://tinyurl.com/ssmyyhf3

Scribd : https://tinyurl.com/5mtjfdnk

DOI : https://doi.org/10.38124/ijisrt/26May2225

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Managing employee attendance and work hours is a daily challenge for many organizations. Traditional methods like paper registers, punch cards, or swipe systems often lead to errors, wasted time, and even fraud such as proxy attendance. To solve these problems, this paper presents a smart, web-based system that uses artificial intelligence and facial recognition to automatically track when employees start and end their work. The system captures an employee's face through a standard webcam, verifies their identity using AI algorithms, and instantly records their check-in and check-out times. Built with HTML, CSS, JavaScript, Node.js, and MongoDB, the platform offers separate dashboards for employees and managers.

Keywords : Face Recognition, Artificial Intelligence, Timesheet Management, Attendance System, OpenCV, Web Application.

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