Development of an AI-Driven Face Recognition Attendance System with RealTime SMS Notifications

This project presents an AI-powered Smart Attendance System that leverages real-time facial recognition technology to automate attendance tracking in educational environments. Using a webcam and the Python face_recognition library, the system captures and identifies student faces in real-time. Attendance is recorded in a Supabase cloud database, and automated SMS alerts are sent to parents of absent students using Twilio. The project also includes a secure admin panel using Tkinter or Streamlit. This contactless, scalable, and efficient approach modernizes traditional attendance systems, ensuring higher transparency, hygiene, and reduced manual effort.