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Build 2 AI Projects: Fake ID Card Detection & OCR Scan 2026

Name: Build 2 AI Projects: Fake ID Card Detection & OCR Scan 2026
Rating: 4.7 (11 reviews)

Create real-world AI applications using Python, OpenCV, EasyOCR, Tkinter, MySQL, and Computer Vision

Created byStepwise Learning ., Technical Support Team

Last updated 6/2026

English

What you'll learn

Build two complete Artificial Intelligence projects from scratch: a Data Scanning Tool and an Employee ID Verification System.
Create AI-powered applications that can detect and extract text from real-world objects using OCR technology.
Learn how to use EasyOCR and Computer Vision techniques in practical projects.
Develop professional graphical user interfaces (GUIs) using Python and Tkinter.
Integrate cameras into AI applications for real-time image capture and processing.
Build interactive features such as control panels, progress bars, alerts, and user-friendly dashboards.
Understand how AI, OCR, databases, and GUI components work together in a complete application.
Design and manage MySQL databases for storing and retrieving employee information.
Create an Employee Registration System for onboarding and managing employee records.
Display employee information automatically after successful ID verification.
Learn how to connect Python applications with MySQL databases.
Gain practical experience in image processing and AI-based verification systems.
Structure and organize real-world Python projects using industry-recommended practices.
Convert Python code into reusable modules to simplify project development and maintenance.
Test, debug, and deploy complete AI applications with confidence.
Strengthen your Python programming skills through hands-on project development.
Understand how AI-powered scanning and verification systems are used in real-world organizations.
Build portfolio-worthy projects that demonstrate your AI and software development skills.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

8 sections • 77 lectures • 4h 53m total length

Getting Started with the First Project2:35
We’ll begin with the data scanning project and its building procedures. You’ll learn about data scanning tools here.
Introduction to AI4:45
We’ll learn about Artificial Intelligence and its uses in our everyday life. We’ll go a little deeper inside it.
Introduction to OCR & EasyOCR3:40
We’ll learn about Optical Character Recognition (OCR) and the EasyOCR library.
Hardware & Software Requirements1:25
We’ll go through the complete hardware and software requirements for this project. Microsoft Visual Studio Code, MySQL Community Server and MySQL Workbench have been used for this project.
Product Links of the Recommended Hardware0:12
Here, you’ll be able to find some product links to help you to buy the required hardwares.
Introduction to Visual Studio Code5:20
We’ll get to know about Microsoft Visual Studio Code IDE here. We’ll learn about installing and setting up VS Code for this project.
Python & VS CODE Extension Installation8:10
We’ll learn about downloading and installing python software. We’ll set up python and jupyter notebook extensions in VS Code.
Starting With The Basic GUI [Part-1]5:10
We’ll start with setting up python and jupyter notebook environments. We’ll learn here of installing and setting up python ipykernel.
Starting with The Basic GUI [Part-2]3:50
You’ll begin with python libraries. You’ll be introduced with the libraries like, opencv, easyocr, tkinter, matplotlib, pillow, pygame.
Starting with The Basic GUI [Part-3]5:00
You’ll create your first basic GUI for this project. You’ll be aware of tkinter GUI, canvas, label, text, paddings and much more.
Designing Control Panel3:14
You’ll learn about designing a control panel. You’ll be taught to design Launch, Scan, Quit control buttons.
Testing Camera [Part-1]3:24
We’ll learn about the camera operations here. We’ll operate our camera using the python_opencv library. We’ll go through the camera code here.
Testing Camera [Part-2]6:21
After camera code, we’ll test our camera by using the control panels.
Designing the Progressbar [Part-1]3:42
We’ll learn about designing a progress bar using the tkinter library. Here we’ll create a console panel, and inside it we’ll insert listbox, scrollbar, and then proceed ahead with insert, scan, quit and clear_screen commands.
Designing the Progressbar [Part-2]4:43
We’ll proceed with the progress bar script, and after configuring it, we’ll test our progress bar.
Understanding the Detection Process [Part-1]2:35
We’ll learn about scanning text using easyocr. We’ll develop a detection code to scan texts using the webcam.
Understanding the Detection Process [Part-2]3:20
You’ll be fully taught with the detection code, where you’ll be able to work with opencv camera, strings, tuples, text detections, printing messages on the camera window, drawing detection area and much more.
Output of the Data Scanning Tool6:33
At this part of the project, you’ll be doing a real-time demonstration of the data scanning tool. First, we’ll do data collection and then extract texts from the available collected data.
Complete Source Code of the first project3:20
This lecture contains the complete source code of the data scanning tool.

Getting Started with the Second Project1:57
In this lecture, first we’ll go through the development process of the second project, where we’ll build an employee id scanning tool. This tool will be capable of scanning id cards of the employees and displaying its information.
Introduction to MySQL Database3:19
We’ll learn about the MySQL database and its key features. We’ll go through the all essential terms in brief.
Getting started with MySQL DataBase6:24
We’ll start with downloading and installing MySQL Community Server and MySQL Workbench.
Setting up MySQL DataBase5:30
This lecture will take you through the setting up of MySQL Database. You’ll learn about setting up MySQL Server, Config Type, TCP/IP, Port, Authentication Method, Accounts and Roles, User Accounts, Testing connections and much more.
Creating MySQL Database3:36
We’ll learn the SQL Commands, such as SHOW, CREATE, SELECT, INSERT etc. Then we’ll get to know about creating a database.
Working with MySQL Table4:16
We’ll be working with the MySQL queries/commands. We’ll learn about creating a MySQL Table inside the created database. We’ll get to know about mysql data-types, keys, constraints, fields, records and so on.
Inserting Records in Table [Part-1]3:38
We’ll learn about creating Tables in MySQL Database, as well as, inserting employee data in a table.
Inserting Records in Table [Part-2]4:21
You’ll learn about inserting multiple records in a MySQL Table in a single click. You’ll be able to verify, edit and update, and display MySQL Tables.
Accessing Database3:38
In this lecture, you’ll learn about accessing your MySQL Database outside the MySQL application. You’ll learn about mysql python codes, doing database connections, and accessing your data.
Source Code for MySQL Database0:44
This lecture contains the complete source code for EI-System's database.

Getting started with Employee Information Module2:42
In this lecture, you’ll be starting with the Employee Information Module, where you’ll be identifying and setting up the project files and the essential data for the EI-System.
Python Libraries3:06
In this lecture, you’ll learn about the python modules. Python modules and libraries are the python packages developed by the developers for the python projects. You’ll learn about installing and importing pythons libraries.
Creating GUI of Employee Information System [Part-1]5:14
In this lecture, you’ll learn about creating a basic tkinter GUI for this EI-System. You’ll get to know about, tkinter geometry, title, text, canvas, header-footer, label, pack, paddings, anchors and much more.
Creating GUI of Employee Information System [Part-2]3:46
In this lecture, you’ll learn about the tkinter GUI control panel. You’ll learn to design the ADD NEW, SAVE, QUIT control buttons.
Designing fields of Employee ID [Part-1]4:25
In this lecture, you’ll learn about designing the structure of employee information tables using the tkinter library. You’ll get to know how to add an employee-id field in EI-System’s GUI.
Designing fields of Employee ID [Part-2]3:09
In this lecture, you’ll learn about designing and adding employee fields and records such as name and gender in the EI-Systems window.
Designing fields of Employee ID [Part-3]4:01
In this lecture, you’ll be working with the first field of an employee. Here, you’ll be designing employee Date of Birth, Department, Designation, Date of Joining, Address and so on.
Designing fields of Employee ID [Part-4]3:44
In this lecture, you’ll learn about designing a PhotoFrame for an employee. You’ll learn about the python imagetk library, PhotoImage class, Labels, Frames and much more. At the end, you’ll be able to design the Employee Information Window.
Source Code of Employee Information System3:19
This lecture contains the source code of the employee information system.

Creating a Registration Form UI [Part-1]2:59
In this lecture, you’ll learn about designing a registration form for the new employees. You’ll learn about action and close commands, and then learn about the pygame module. Thereafter, you’ll be working with the registration form.
Creating a Registration Form UI [Part-2]1:53
In this lecture, you’ll create and design records like employee name, gender, date of birth of an employee inside the registration form using tkinter library.
Creating a Registration Form UI [Part-3]1:24
In this lecture, you’ll learn to design records of an employee inside the registration form. Here, you’ll learn about designing the department, designation, date of joining and address of an employee.
Designing a Profile Picture Feature in Registration Form4:27
In this lecture, you’ll learn about designing a photoFrame of an employee inside the registration form. You’ll learn about loading images, resizing and resampling and configuring images, and then inserting inside the photoFrame.
Specifying Image Path, File Locations & Saving Address2:27
In this lecture, you’ll learn about filePath, file locations, and saving the path address of a file.
Uploading Image and Setting Destination Path3:50
In this lecture, you’ll learn about designing a file picker widget. You’ll be able to develop a file picker button which will be capable of choosing the desired image files. This widget will be helpful for uploading employee images in the registration form.
Generating Alert Message in the Registration Form5:03
In this lecture, you’ll learn about coding the alert messages. You’ll be taught about the error messages in case of any empty fields.
User Alert Message in the Registration Form6:50
In this lecture, you’ll learn about developing a pop-up window for the alert messages. Here, you’ll be developing an alert pop-up window for the duplicate employee id.
Data Saved Message in the Registration Form5:18
In this lecture, you’ll learn about designing a pop-up window for the registration window. You’ll be able to develop a pop-up window for the data saved message. It should pop-up as soon as new employee records are submitted without any error.
Data Validation and Export [Part-1]3:55
In this lecture, you’ll be taken through the data validation and export work. You’ll be connecting to the employee info database for the data validation.
Data Validation and Export [Part-2]2:27
In this lecture, you’ll dive deeper with the data validation work. Here, you’ll learn about fetching data from the input fields, verifying with the records available in the employeeinfo database, and much more.
Saving New Data in the Database3:11
In this lecture, you’ll learn about fetching employee’s data from the input fields, as well as exporting and saving it into the employeeinfo database.
Adding Control Panel in The Registration Form3:26
In this lecture, you’ll learn about the control panels, where you’ll be designing some control buttons for the registration form.
Output of The Registration Form6:05
In this lecture, you’ll be shown a real-time output of the registration form, as well as, you’ll do the live testing of the employee information system.
Converting EI File as A Third Party Python Module [Part-1]6:53
In this lecture, you’ll learn about the python third party modules. Python third party modules or libraries are nothing but just a python script file. You’ll learn to create a python library here.
Converting EI File as A Third Party Python Module [Part-2]5:56
In this lecture, you’ll learn about converting the employee information system into a third party python module.
Converting EI File as A Third Party Python Module [Part-3]5:04
In this lecture, you’ll be converting EI-Systems into a third party python module, as well as, you’ll be doing testing of this module outside the environment such as command prompt terminal.
Complete Code of the Registration Form10:43
This lecture contains the complete code for Employee Information Module.

Starting with The Basic GUI6:19
In this lecture, you’ll be learning about developing an interface for the Employee ID Card Scanner Tool. Here, you’ll recall everything from the first phase of the project. Things like, setting up titles, welcome messages, configuring backgrounds, layouts, canvas, labels, etc etc will be covered in this lecture.
Developing Console1:57
In this lecture, you'll learn about developing console windows just like earlier. Help messages will be printed on the console window here as guidelines of using the application.
The Control Panel2:49
In this lecture, you’ll recall the same process of developing control panels as earlier done. This time you’ll add control buttons for the Employee ID Card Detector Tool.
Testing Camera4:05
In this lecture, you’ll learn about opencv-camera, and camera handling techniques.
Progressbar and Scan Status5:03
In this lecture, you’ll learn about designing a scanner level for this tool. All the steps and procedures will be followed the same as we’ve done for the first project.
Understanding the Detection Process [Part-1]3:35
In this lecture, you’ll learn about data detection and extraction techniques using easyocr model and opencv library.
Understanding the Detection Process [Part-2]4:17
In this lecture, your hands will get dirty with detection codes.
Data Management3:41
In this lecture, you’ll learn about data management and data mining techniques. You’ll be taken deeper with the strings and its validations.
Data Validation [Part-1]3:04
In this lecture, you’ll learn about data validation by the help of MySQL Database.
Data Validation [Part-2]6:56
In this lecture, you’ll learn about database management techniques and data validation using MySQL Database. You’ll learn about how to implement the third party library with your Employee ID Card Detector application.
Complete Output of the project9:33
In this lecture, you’ll come with the final output of the project. Your Fake ID Card Detector application will be completed here. You’ll be able to do a real-time demonstration of your project, where the employee id card will be verified and will be given satisfactory results.
Complete Code of the second project6:27
This lecture contains the completed source-code of the whole project.
All Project files & Resouces0:10
In this lecture, you will the source code of both the projects along with database file. We have also included the testing organization employees ID card for testing your project.

Multiple Choice Questions (MCQs)
Multiple Choice Questions (MCQs)
Write a program to generate the multiplication table of a given number:
Write a program to convert a decimal number to binary.
Write a program to calculate the simple interest for a given principal amount, rate, and time.
Create a Python class to store and display employee details like name, age, position, and salary.
Write a program for calculating student's average grade and assigning grades from A to F.
Write a program to implement a search functionality for the previous created employee details class.
This is assignment is based on camera operations using OpenCV and Python.
This assignment is based on OpenCV and Matplotlib library.
This assignment is related to Matplotlib

Troubleshooting EasyOCR Detection Errors0:30
Learn how to fix common OCR-related issues that prevent text from being detected correctly.
Troubleshooting Camera Detection Errors0:21
Fix common camera-related problems while testing the Data Scanning Tool and Employee ID Scanner.
Troubleshooting MySQL Database Errors0:19
Resolve common database connection and data storage issues.
Troubleshooting Employee Registration Form Errors0:18
Learn how to fix errors while registering new employees.
Troubleshooting Employee ID Verification Errors0:18
Fix common issues during employee ID card scanning and verification.
Troubleshooting Python Library Installation Errors0:15
Resolve dependency and package installation problems.
Frequently Asked Questions & Support Guide0:26
Answers to the most frequently reported issues by students.

Requirements

Basic knowledge of Python programming (variables, loops, functions, strings, and conditional statements).
A Windows, Linux, or macOS computer with internet access.
No prior experience in Artificial Intelligence, Machine Learning, Computer Vision, or OCR is required.
A willingness to learn and build real-world AI applications through hands-on projects.
All software installation and setup steps will be demonstrated throughout the course.

Description

Build 2 Real-World Artificial Intelligence Projects from Scratch

Are you tired of AI courses that spend hours explaining theory but never show you how to build a complete application?

This course is designed to be different.

Instead of overwhelming you with complex mathematical concepts and endless presentations, you'll learn Artificial Intelligence by creating two practical, real-world projects from scratch. Every lesson focuses on helping you build something useful while developing skills that can be applied to future AI projects.

Whether you're a student, aspiring developer, IT professional, or technology enthusiast, this course will help you understand how modern AI applications are built and deployed.

What You'll Build

AI-Powered Data Scanning Tool

Imagine creating an application that can instantly extract text from real-world objects using a camera.

In this project, you'll build a powerful AI-based scanning system capable of detecting and extracting text from objects such as notebooks, product labels, posters, signboards, bottles, watches, and more.

You'll gain practical experience with computer vision and OCR technologies that are widely used in industries such as automation, retail, logistics, healthcare, and document management.

Employee ID Verification System

In the second project, you'll build a complete employee verification application that uses image processing and AI techniques to identify employee ID cards and retrieve employee information automatically.

This project demonstrates how AI can be combined with databases, user interfaces, and image recognition to create intelligent business applications used in real-world organizations.

By the end of the course, you'll understand how multiple technologies work together to create a complete AI solution.

Why This Course Is Valuable

Learn by Building Real Applications

The fastest way to learn technology is by creating projects.

Rather than memorizing concepts, you'll gain practical experience by building complete applications step by step. This hands-on approach helps you understand not only how AI works but also how it is implemented in real-world software.

Develop In-Demand AI Skills

Artificial Intelligence continues to transform industries around the world.

The skills covered in this course—including AI integration, image processing, OCR, GUI development, database connectivity, and Python programming—are highly relevant for modern software development and automation projects.

Improve Your Python Programming

Python remains one of the most important programming languages in Artificial Intelligence and Machine Learning.

Throughout the course, you'll strengthen your Python skills while learning how to structure projects, work with libraries, connect databases, and develop user-friendly applications.

Understand Real-World AI Development

Many beginners learn AI models but struggle to turn them into usable applications.

This course bridges that gap by showing you how to integrate AI into complete software solutions that users can actually interact with.

You'll learn how different components—including AI models, databases, cameras, and graphical interfaces—work together in a real application environment.

Build Confidence Through Practical Learning

One of the biggest challenges beginners face is believing they can actually create AI applications.

By following the projects from start to finish, you'll gain confidence in your ability to build software solutions independently and tackle more advanced projects in the future.

Create Projects for Your Portfolio

Practical projects demonstrate your skills far better than theoretical knowledge alone.

The applications you build in this course can serve as examples of your learning journey and showcase your ability to work with Artificial Intelligence, Python, databases, and graphical user interfaces.

Beginner-Friendly Approach

No prior experience in Artificial Intelligence is required.

Every concept is explained in a simple and easy-to-understand manner. You'll be guided through each stage of development, making the learning process smooth and enjoyable even if you're completely new to AI.

All you need is:

Basic computer knowledge
A willingness to learn
An interest in technology and AI

Source Code Included

Complete source code is provided so you can follow along with confidence, review the implementation details, and experiment with the projects at your own pace.

Technical Support

Learning new technologies can sometimes be challenging, and help should always be available when you need it.

If you encounter any technical issues or have questions during the course, simply post your query in the Q&A section. Our dedicated support team responds within 24 hours (Monday to Saturday) to help you continue your learning journey without unnecessary delays.

English Subtitles Included

All lectures include English subtitles, making it easier to follow the lessons and understand important concepts clearly.

Start Your AI Journey Today

Artificial Intelligence is no longer a technology of the future—it's already transforming the way businesses and applications operate.

The best way to understand AI is to build it yourself.

Enroll today and learn how to create practical AI-powered applications while developing valuable skills in Python, computer vision, OCR, database integration, and software development.

Who this course is for:

Beginners who want to learn Artificial Intelligence through hands-on projects instead of complex theory.
Python developers interested in building real-world AI, OCR, and Computer Vision applications.
Students and IT professionals looking to gain practical experience with OpenCV, EasyOCR, Tkinter, and MySQL.
Anyone interested in developing AI-powered security, verification, and document-scanning systems.
Software developers who want to add Artificial Intelligence and Computer Vision projects to their portfolio.
Technology enthusiasts who want to understand how AI applications are built from scratch.
Professionals seeking practical AI skills that can be applied to workplace automation and business solutions.

Build 2 AI Projects: Fake ID Card Detection & OCR Scan 2026

What you'll learn

Explore related topics

Coding Exercises

Course content

Getting Started with Data Scanning Tool19 lectures • 1hr 17min

Understanding Database Management System10 lectures • 37min

Employee Information System9 lectures • 33min

Registration Form18 lectures • 1hr 22min

Working with EmployeeID Scanner13 lectures • 58min

Brief Summary of the course1 lecture • 3min

Quizzes, Assignment and Coding Exercise0

Troubleshooting Common Errors7 lectures • 2min

Requirements

Description

Who this course is for: