👤 FaceID Attendance System

A real-time face recognition-based attendance system using OpenCV and the face_recognition library. It recognizes known faces from a webcam feed and logs their attendance automatically — both locally (in a CSV file) and remotely using Supabase, a scalable open-source backend.

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📌 Features

• Live face recognition using webcam
• Attendance logging with timestamp
• Automatically prevents duplicate entries for the same session
• Stores attendance both locally (Attendance.csv) and remotely via Supabase
• Clean and modular code

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🛠️ Requirements

• Python 3.x
• OpenCV (opencv-python)
• face_recognition
• NumPy
• Pandas
• supabase Python client (supabase-py)

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▶️ How to Use

Follow these steps in order to set up and run the system correctly:

1️⃣ Add Training Images

• Place clear, front-facing photos of each person inside the Images/ folder.
• Make sure the filename matches the person’s name, as it will be used as the label.

2️⃣ Encode Faces

Run the face encoder to process all training images:

3️⃣ Start Attendance System