{"repo":"RpM-999/P14-Facial-Recognition-Based-Attendance-System","free":true,"listed":false,"github":"https://github.com/RpM-999/P14-Facial-Recognition-Based-Attendance-System","clone":"git clone https://github.com/RpM-999/P14-Facial-Recognition-Based-Attendance-System.git","description":"The Facial Recognition Based Attendance System is an automated solution designed to streamline attendance management in educational institutions. By utilizing advanced facial recognition technology, the system eliminates manual attendance processes, reduces proxy attendance, and provides real-time attendance tracking with comprehensive reporting .","language":"Python","stars":16,"topics":["google-sheets-api","mail","python","pytorch","streamlit","supabase-auth","supabase-db","vector-database","vector-search","ai-system-design"],"license":"MIT","category":"databases-storage","readme_excerpt":"🎓 Facial Recognition Based Attendance System 🎓 A comprehensive, enterprise-grade attendance management system that leverages facial recognition technology to automate student attendance tracking. Built with Streamlit , FaceNet-PyTorch , and integrated with Supabase , Qdrant Vector Database, Databricks Data Warehouse, and Google Sheets for efficient data management and analytics. --- 🎯 Overview The Facial Recognition Based Attendance System is an automated solution designed to streamline attendance management in educational institutions. By utilizing advanced facial recognition technology powered by deep learning models, the system eliminates manual attendance processes, reduces proxy attendance, and provides real-time attendance tracking with comprehensive reporting capabilities and data warehousing. Key Highlights - ✅ Real-time Facial Recognition using FaceNet deep learning model with MTCNN face detection - ✅ Multi-user Admin Panel with role-based access control for system management - ✅ Department-wise Student Management with hierarchical organization - ✅ Automated Email Notifications for registration and attendance reports - ✅ Google Sheets Integration for live attendance logging and data export - ✅ Vector Database (Qdrant) for fast and accurate face matching using cosine similarity - ✅ Databricks Data Warehouse for advanced analytics and historical reporting - ✅ Secure Authentication using Supabase Auth with email and password - ✅ Attendance Analytics with department-w","default_branch":null,"files":null,"tree":[],"storefront":"/r/RpM-999","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/RpM-999/P14-Facial-Recognition-Based-Attendance-System/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}