RpM-999/P14-Facial-Recognition-Based-Attendance-System
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 .
Leverages FaceNet-PyTorch embeddings with Qdrant vector database for fast face matching via cosine similarity, while storing structured data in Supabase and automatically logging attendance to Google Sheets via gspread. Built on Streamlit with MTCNN face detection, role-based admin controls, and SMTP-based email notifications for registration and department-wise attendance reports.
Stars
17
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jan 19, 2026
Commits (30d)
0
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