Computer Vision Smart Systems : Python, YOLO and OpenCV -1

Build a Real Time Smart Face Attendance System with Python, AI, and Machine Learning

Created by: Muhammad Yaqoob G
Founder of ScratchLearn

What Will I Learn?

• Understand the fundamentals of facial recognition systems and AI-driven attendance solutions.
• Set up a Python development environment and install necessary libraries like OpenCV and Dlib.
• Capture and enroll facial images to create a robust dataset for recognition.
• Extract facial landmarks and embeddings using advanced tools and techniques.
• Build and train machine learning models for accurate face detection and recognition.
• Integrate face recognition features into a real-time attendance system.
• Develop a user-friendly GUI using Tkinter to enable seamless attendance management.
• Combine all components into a fully functional Smart Face Attendance System.
• Troubleshoot and resolve common challenges in developing facial recognition systems.

Requirements

• Basic understanding of Python programming (helpful but not mandatory).
• A laptop or desktop computer with internet access.
• No prior knowledge of AI or Machine Learning is required—this course is beginner-friendly.
• Enthusiasm to learn and build practical projects using AI and IoT tools.

Target audience

• Students looking to dive into AI and learn practical applications in face recognition and attendance systems.
• Working professionals wanting to upskill in AI, Machine Learning, and Python programming for real-world applications.
• IoT enthusiasts who want to integrate AI into Internet of Things (IoT) solutions.
• Aspiring developers aiming to build a career in AI, machine learning, or computer vision.