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An attendance management system with layout like book my show or red bus for taking attendance of students. It also manages various things for more details kindly check README.md file. for any inquiry just ping me.
Attendance System using face recognition. Fully automated, UI operated. The model was trained using Keras Sequential layers and Softmax function at the output layer. The data is maintained in MongoDB and CSV at the backend. UI is created using Tkinter
This QR-Based Attendance System is a secure, web-based solution that marks student attendance using QR codes, geolocation, and device fingerprinting. It ensures students are physically present near the classroom and prevents duplicate entries. Developed as part of a DAA Project, it applies key algorithms like SHA-256 hashing, the Haversine formula
A face recognition-based attendance management system that automates student attendance using deep learning and Face API. Includes role-based admin and lecturer access, student registration, course and venue management, real-time face recognition attendance, attendance records, and Excel export.
AI-powered classroom attendance system using Face Recognition and Voice Biometrics built with Python, Streamlit, and Supabase. The platform enables teachers to manage subjects and automatically record attendance through biometric identification while students enroll using QR codes and verify their identity via face or voice recognition.
AI-powered desktop application for automated student attendance using real-time facial recognition, built with Python and OpenCV. Designed for educational institutions to streamline check-in processes securely and efficiently.