Live Student Attendance by Face Recognition

This project facilitates live student attendance using face recognition technology.

Features

• Real-time face recognition with visual student identification via drawn rectangles.
• Graphical User Interface (GUI).
• Automatic creation of daily Excel files for attendance records.

Installation

1. Clone the repository:

   git clone https://github.com/tharushaudana/python-student-attendance-by-face-recognition.git
   

2. Install dependencies from requirements.txt:

   pip install -r requirements.txt
   

Instructions

1. Clone the Repository

2. Configure Parameters in config.py

   Modify the following parameters in config.py if needed:

   video_device_index = 0
   images_path = 'assets/student_images/'
   student_data_path = 'assets/student_data.xlsx'
   attendsheets_dir_path = 'Attend Sheets/'

3. Create student_data.xlsx

   Create student_data.xlsx in assets/student_data.xlsx with student information. Refer to for the required format.

4. Store Student Images

   Store student images in assets/student_images/, ensuring filenames correspond to student IDs in student_data.xlsx. See for an example.

5. Attendance Sheets

   Attendance sheets are automatically generated daily in Attend Sheets/. View for an example and for a sample attendance sheet.

6. Sample Video

   Watch a demonstration of live recognition in .

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We hope this project proves valuable to you!