A simple tool for syncing Biometric Attendance data with your ERPNext server
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Updated
May 23, 2025 - Python
A simple tool for syncing Biometric Attendance data with your ERPNext server
Open-source, offline-first face recognition attendance platform that runs on any webcam.
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Completed ✔ | Django web application for managing staff attendance. Supports user registration, capturing of fingerprint-based biometric attendance, and attendance monitoring.
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Edge biometric attendance system using ESP8266 and R307 fingerprint recognition with a PHP/MySQL control plane for real-time tracking, enrollment workflows, and report export.
Face Recognition by Eigenface method with the trained Feed Forward Neural Network and other classifiers applied to biometric attendance system functional on static-images.
VisionRoll Next Generation — Smart Attendance System Using Face Recognition | FaceNet + MTCNN · FastAPI · Live dashboard · Liveness & anti-spoof hooks
A PHP and MySQL web application for receiving and managing attendance data from ZKTeco biometric devices (e.g., uFace800). Provides a REST-style API, data persistence, and a modern, searchable/loggable front end.
Pratyaksha: A browser-based biometric attendance system using face recognition, GPS geofencing, Firebase, and real-time workforce management.
EdgeAttend AI is an offline-first AI-powered biometric attendance system that uses facial recognition, liveness detection, GPS verification, and encrypted local storage to securely manage employee check-ins and check-outs without requiring a continuous internet connection.
AI-Powered Biometric Attendance Management System using Face Recognition, Liveness Detection, Challenge Verification, and Flask.
Bilingual attendance and overtime analyzer for Excel-based biometric attendance exports.
Touchless AI-powered attendance system using facial recognition, built with Flutter, FastAPI, and Firebase Firestore.
A full-stack, NFC-enabled attendance management system for schools, built with FastAPI (backend/API), SQLite (database), React + Tailwind CSS (frontend dashboard), and ESP8266/ESP32/Arduino (hardware integration).
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