🎭 Face Recognition-Based Attendance System

A Python GUI-integrated attendance system using face recognition to automate the attendance process efficiently.

📌 Overview

This project leverages OpenCV and Tkinter to build an AI-powered attendance system. By utilizing face recognition, it marks attendance automatically and securely stores it in CSV files.

✨ Features

✅ User-Friendly GUI - Interactive interface built with Tkinter for easy navigation.
✅ Face Recognition Technology - Uses OpenCV's LBPHFaceRecognizer for precise detection.
✅ Secure Access - Password-protected new user registration.
✅ Automated Attendance - Creates a daily CSV file with accurate timestamps.
✅ Live Attendance Updates - Displays attendance records dynamically on the main screen.
✅ Data Storage - Stores registered user details in a structured CSV format.

🛠️ Tech Stack

• Python (Core logic)
• OpenCV (Face Recognition & Image Processing)
• Tkinter (Graphical User Interface)
• CSV, NumPy, Pandas (Data Management & Storage)
• Datetime (Timestamp Handling)

🖥️ Installation Guide

Follow these simple steps to set up the project on your local machine:

# Clone the repository
git clone https://github.com/your-github-username/Face_Recognition_Attendance_System.git
cd Face_Recognition_Attendance_System

# Install dependencies
pip install opencv-python numpy pandas

# Run the application
python main.py

🚀 How It Works

1. User Registration:

   • Admin adds a new user with name and unique ID.
   • The system captures multiple face images for training.

2. Face Training:

   • OpenCV's LBPHFaceRecognizer trains the model with registered faces.

3. Attendance Marking:

   • The system detects faces from live webcam feed.
   • Matches them with the trained model.
   • If a match is found, attendance is recorded with date & time.

4. CSV Logging:

   • Each day's attendance is stored in a separate CSV file.

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📸 Screenshots

🔹 Main Screen

🔹 Help Option

🔹 Change Password

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📥 Installation & Usage

1️⃣ Clone the repository

 git clone https://github.com/yourusername/face_recognition_attendance.git
 cd face_recognition_attendance

2️⃣ Install dependencies

pip install -r requirements.txt

3️⃣ Run the application

python main.py

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📢 Future Enhancements

🚀 Cloud Integration - Store attendance data on cloud platforms like Firebase. 🚀 Mobile App Support - Develop an Android/iOS app for remote access. 🚀 Multiple Camera Support - Extend functionality to support multiple camera inputs. 🚀 Real-Time Notifications - Send attendance alerts via email/SMS.

🏆 Contributing

We welcome contributions! Feel free to submit issues or pull requests.

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📞 Connect & Support

🌐 LinkedIn: @codehub01
🔗 GitHub: @codehub001

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