Face Recognition Attendance Manager

This project is a Face Recognition Attendance Manager using Python. It captures live video feed, recognizes known faces, marks attendance, and sends email notifications if attendance is below a certain threshold.

Table of Contents

• Features
• Installation
• Usage
• Project Structure
• Dependencies
• Configuration
• License

Features

• Face Recognition: Detects and recognizes faces from live video input.
• Attendance Management: Marks attendance for recognized users.
• Email Notification: Sends reminder emails to users with low attendance.
• JSON Data Handling: Stores and retrieves user data, including attendance records, from a JSON file.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/attendance-manager.git
   cd attendance-manager

2. Install required Python packages: Make sure you have Python installed on your system. Then, install the dependencies:

   pip install -r requirements.txt

3. Ensure you have a webcam connected, as this project uses it for face recognition.

4. Set up the JSON data:

   • Create a folder named assets/data and add the rampraj.json file in it.
   • The JSON file should contain user data with fields like name, email, and attendance.
   • Example JSON (rampraj.json):

     [
       {
         "name": "samarth g",
         "email": "samarth@example.com",
         "attendance": 15
       },
       {
         "name": "ramya g",
         "email": "ramya@example.com",
         "attendance": 5
       }
     ]

Usage

Run the application:

python face.py

Options in the menu:

1. Mark your Attendance: Opens the webcam, detects your face, and marks your attendance in the JSON file.
2. View Attendance: Check your attendance and receive email alerts if attendance is below average.

Exit: You can exit the program by pressing q while the webcam window is active, or by selecting 'q' from the main menu.

Project Structure

face_recognition/
├── assessts/
│   ├── images/           # Folder containing known face images (e.g., topg.jpg, kothi.jpg)
│   ├── data/             # Folder containing the JSON file with user data (e.g., rampraj.json)
├── face.py               # Main script for running the face recognition attendance system
├── README.md             # Project documentation
├── requirements.txt      # Python dependencies

Dependencies

• OpenCV: For video capture and displaying frames.
• face_recognition: For face detection and recognition.
• NumPy: For numerical operations.
• smtplib: To send email notifications using Gmail's SMTP server.
• email.mime: To format email messages.

Install all dependencies using:

pip install -r requirements.txt

Configuration

Email Configuration:

In face.py, update the sender_email and sender_password with valid Gmail credentials (enable "less secure apps" access for the sender email or set up an app-specific password).

Image Data:

Place images of known users in the assets/images/ folder. The filenames should match the names in the JSON data.

License