zk-jubaer is a Node.js library that provides a simple and intuitive API for interacting with ZK BioMetric Fingerprint Attendance Devices. It enables developers to retrieve device information, add new users, retrieve real-time logs, and clear the attendance logs stored on the device
Attendance marking of university students using facial recognition techniques.
Intelligent AI Attendance - Face & Voice System: AI-powered biometric attendance system built with Streamlit that automates classroom attendance using Face Recognition and Voice Identification. Integrates computer vision, speaker recognition, and Supabase cloud database to securely manage students, subjects, and attendance records.
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