Complete Face Recognition attendance software| Python OpenCV

🎉 [Course Headline] Build Complete Machine Learning Face Recognition Attendance Entry Software Using Python, PyQt5, OpenCV & SQLite with Qt Designer! 🎓

Welcome to the Course!

Hey there, Students!

Are you ready to embark on an exciting journey into the world of AI and software development? Today, we're diving into the intricacies of creating a robust Face Recognition Attendance System using Python, PyQt5, OpenCV, and Machine Learning, all while designing a user-friendly interface with Qt Designer and managing data through SQLite.

Course Overview

What You'll Learn:

1. Installation of Software Tools 🛠️

   • Python
   • PyQt5 & Pyqt5-tools
   • OpenCV
   • Visual Studio Code
   • Db Browser for SQLite

2. Creating Interfaces 🖥️

   • Designing the login process
   • Setting up training for face recognition
   • Implementing the attendance entry process
   • Generating insightful reports

3. Interface Controls Creation 🎨

   • Utilizing QLabel, QTabWidget, QPushButton, QLineEdit, QTableWidget, QDateEdit, and QFrame

4. Main Process Implementation 🚀

   • Providing images with QLabel
   • Capturing passwords securely
   • Styling controls for a polished look
   • Adding hover effects for interactive feedback

5. Connecting Qt Designer UI with Python 🔗

   • Integrating the designer file with Python code seamlessly

6. Database Management with SQLite 🗂️

   • Setting up and managing an SQLite database
   • Creating tables and inserting records

Modules Breakdown:

1. Login Module ✅

   • Secure admin entry using Python if conditions and functions

2. Training Module 🎫

   • Utilizing the haarcascade_frontalface_default.xml for face detection
   • Capturing images and saving them for training purposes

3. Attendance Module 📈

   • Implementing LBPHFaceRecognizer for real-time face recognition
   • Recording attendance with unique identification
   • Handling known and unknown faces appropriately

4. Reports Module 📊

   • Generating daily attendance reports based on selected dates

Why Take This Course?

• Comprehensive Learning: You'll learn how to create a complete Python GUI project with face recognition capabilities using OpenCV's LBPHFaceRecognizer model.

• Database Mastery: Understand how to manage and interact with databases, including creating tables and inserting records.

• Report Generation: Learn to generate reports directly from your SQLite database.

• GUI & Code Integration: Discover the process of connecting your user interface to Python code effectively.

Thank you for considering this course! With hands-on projects, real-world applications, and step-by-step guidance, you'll be well on your way to becoming proficient in AI-driven software development. I can't wait to see you in the classroom and start this incredible adventure together! 🚀

Let's get started! Enroll now and take the first step towards mastering Face Recognition Attendance Systems with Python and OpenCV. See you there! 🎉