Smart Attendance Using Face Recognition

📌 Overview

Smart Attendance is an automated attendance marking application that uses face recognition. Instead of uploading multiple individual photos of students, the user simply uploads one single photo containing all student faces. The system automatically detects all faces in the image and marks attendance for each recognized student in an Excel (XLSX) sheet.

This dramatically reduces manual effort, improves accuracy, and speeds up the attendance process.

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🚀 Features

• Single Photo Input: User uploads one group photo containing all students.
• Automatic Face Detection: The system detects all the faces present in the image.
• Face Recognition: Recognizes each student based on pre-registered face data.
• Auto Attendance Marking: Attendance is automatically stored in an Excel sheet.

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🏗️ How It Works

1. Upload Group Photo containing all students.
2. System detects all faces in the image.
3. Each face is compared with the stored dataset.
4. Matched students get their attendance marked automatically.
5. Attendance is stored in an Excel (XLSX) file.

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📁 Project Folder Structure

face_recognition/
├── apps/
│   ├── admin.py
│   ├── auth.py
│   ├── faculty.py
│   ├── home.py
│   ├── student.py
│   └── __pycache__/
│
├── faces/
│   └── ... (stored student face images)
│
│
├── templates/
│   ├── admin/
│   │   ├── add-faculty.html
│   │   └── add-student.html
│   │
│   ├── faculty/
│   │   ├── attendence-result.html
│   │── dashboard.html
│   │── get-attendance.html
│   │── insert.html
│   │── login.html
│   |── mark-attendance.html
│   |── result.html
│   
│   
│
├── utils/
│   ├── admin.py
│   ├── attendance.py
│   ├── insert.py
│   ├── query.py
│   
│
├── sample.xlsx
├── app.py

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🛠️ Tech Stack

• Python
• OpenCV
• face_recognition library
• Pandas
• Flask
• HTML, CSS

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