| 1. Conclusion.mp4 | 41.6 MB | ||
| 1. Creating a Registration Form UI [Part-1].mp4 | 27 MB | ||
| 1. Getting Started with the First Project.mp4 | 28.8 MB | ||
| 1. Getting Started with the Second Project.mp4 | 19.4 MB | ||
| 1. Getting started with Employee Information Module.mp4 | 21.1 MB | ||
| 1. Starting with The Basic GUI.mp4 | 59.5 MB | ||
| 10. Data Validation [Part-2].mp4 | 73.2 MB | ||
| 10. Data Validation and Export [Part-1].mp4 | 40.3 MB | ||
| 10. Source Code for MySQL Database.html | 1.9 KB | ||
| 10. Starting with The Basic GUI [Part-3].mp4 | 45.6 MB | ||
| 10.1 Database.sql | 1.7 KB | ||
| 11. Complete Output of the project.mp4 | 156.9 MB | ||
| 11. Data Validation and Export [Part-2].mp4 | 23.2 MB | ||
| 11. Designing Control Panel.mp4 | 34 MB | ||
| 11. This assignment is based on OpenCV and Matplotlib library..html | 204.8 B | ||
| 12. Complete Code of the second project.html | 16.9 KB | ||
| 12. Multiple Choice Questions (MCQs).html | 204.8 B | ||
| 12. Saving New Data in the Database.mp4 | 32.7 MB | ||
| 12. Testing Camera [Part-1].mp4 | 30.9 MB | ||
| 12.1 EmployeeInfo.py | 33.4 KB | ||
| 12.2 EmplyeeID_Scanner.ipynb | 31 KB | ||
| 13. Adding Control Panel in The Registration Form.mp4 | 40 MB | ||
| 13. Coding Exercise based on Python Programming..html | 204.8 B | ||
| 13. Complete Project files & Resouces.html | 307.2 B | ||
| 13. Testing Camera [Part-2].mp4 | 68.5 MB | ||
| 14. Designing the Progressbar [Part-1].mp4 | 31.4 MB | ||
| 14. Output of The Registration Form.mp4 | 67.3 MB | ||
| 15. Converting EI File as A Third Party Python Module [Part-1].mp4 | 79.2 MB | ||
| 15. Designing the Progressbar [Part-2].mp4 | 41.7 MB | ||
| 16. Converting EI File as A Third Party Python Module [Part-2].mp4 | 91.4 MB | ||
| 16. Understanding the Detection Process [Part-1].mp4 | 20.3 MB | ||
| 17. Converting EI File as A Third Party Python Module [Part-3].mp4 | 62.5 MB | ||
| 17. Understanding the Detection Process [Part-2].mp4 | 26.7 MB | ||
| 18. Complete Code of the Registration Form.html | 48 KB | ||
| 18. Output of the Data Scanning Tool.mp4 | 91.2 MB | ||
| 18.1 EmployeeInfo.ipynb | 217.5 KB | ||
| 18.2 EmployeeInfo.py | 33.4 KB | ||
| 19. Coding Exercise based on Python Programming.html | 204.8 B | ||
| 19. Complete Source Code of the first project.html | 8.3 KB | ||
| 19.1 Data_Scanning_Tools.ipynb | 18.3 KB | ||
| 2. Creating a Registration Form UI [Part-2].mp4 | 23.2 MB | ||
| 2. Developing Console.mp4 | 22.6 MB | ||
| 2. Introduction to AI.mp4 | 62.6 MB | ||
| 2. Introduction to MySQL Database.mp4 | 25.6 MB | ||
| 2. Python Libraries.mp4 | 28.2 MB | ||
| 20. This is assignment is based on camera operations using OpenCV and Python..html | 204.8 B | ||
| 21. Multiple Choice Questions (MCQs).html | 204.8 B | ||
| 22. Coding Exercise based on Python Programming.html | 204.8 B | ||
| 3. Creating GUI of Employee Information System [Part-1].mp4 | 53.2 MB | ||
| 3. Creating a Registration Form UI [Part-3].mp4 | 18.5 MB | ||
| 3. Getting started with MySQL DataBase.mp4 | 79.3 MB | ||
| 3. Introduction to OCR & EasyOCR.mp4 | 33.3 MB | ||
| 3. The Control Panel.mp4 | 29.9 MB | ||
| 4. Creating GUI of Employee Information System [Part-2].mp4 | 43 MB | ||
| 4. Designing a Profile Picture Feature in Registration Form.mp4 | 53.8 MB | ||
| 4. Hardware & Software Requirements.mp4 | 17 MB | ||
| 4. Setting up MySQL DataBase.mp4 | 94 MB | ||
| 4. Testing Camera.mp4 | 38.6 MB | ||
| 5. Creating MySQL Database.mp4 | 37.3 MB | ||
| 5. Designing fields of Employee ID [Part-1].mp4 | 44.1 MB | ||
| 5. Product Links of the Recommended Hardware.html | 2.3 KB | ||
| 5. Progressbar and Scan Status.mp4 | 47.9 MB | ||
| 5. Specifying Image Path, File Locations & Saving Address.mp4 | 27.6 MB | ||
| 6. Designing fields of Employee ID [Part-2].mp4 | 34.7 MB | ||
| 6. Introduction to Visual Studio Code.mp4 | 54.4 MB | ||
| 6. Understanding the Detection Process [Part-1].mp4 | 29.8 MB | ||
| 6. Uploading Image and Setting Destination Path.mp4 | 39.7 MB | ||
| 6. Working with MySQL Table.mp4 | 31.6 MB | ||
| 7. Designing fields of Employee ID [Part-3].mp4 | 43.2 MB | ||
| 7. Generating Alert Message in the Registration Form.mp4 | 51.8 MB | ||
| 7. Inserting Records in Table [Part-1].mp4 | 30.4 MB | ||
| 7. Python & VS CODE Extension Installation.mp4 | 74.4 MB | ||
| 7. Understanding the Detection Process [Part-2].mp4 | 39.7 MB | ||
| 8. Data Management.mp4 | 30.6 MB | ||
| 8. Designing fields of Employee ID [Part-4].mp4 | 37.4 MB | ||
| 8. Inserting Records in Table [Part-2].mp4 | 51.5 MB | ||
| 8. Starting With The Basic GUI [Part-1].mp4 | 51.5 MB | ||
| 8. User Alert Message in the Registration Form.mp4 | 69.7 MB | ||
| 9. Accessing Database.mp4 | 48.5 MB | ||
| 9. Data Saved Message in the Registration Form.mp4 | 54.7 MB | ||
| 9. Data Validation [Part-1].mp4 | 26.8 MB | ||
| 9. Source Code of Employee Information System.html | 8.9 KB | ||
| 9. Starting with The Basic GUI [Part-2].mp4 | 30.1 MB | ||
| 9.1 EmployeeInfo.ipynb | 217.5 KB | ||
| 9.2 EmployeeInfo.py | 33.4 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Data_Scanning_Tools.ipynb | 18.3 KB | ||
| Database.sql | 1.7 KB | ||
| EmployeeInfo.cpython-39.pyc | 17.1 KB | ||
| EmployeeInfo.ipynb | 217.5 KB | ||
| EmployeeInfo.py | 33.4 KB | ||
| Employees.pdf | 582 KB | ||
| EmplyeeID_Scanner.ipynb | 31 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| code for mysql database.sql | 1.7 KB | ||
| code for mysql database.txt | 1.8 KB | ||
| data.sql | 3.1 KB | ||
| dataSaved.mp3 | 8.4 KB | ||
| detect-music.wav | 846.8 KB | ||
| emp.png | 36.8 KB | ||
| emp2.png | 5.3 KB | ||
| emp3.png | 35.9 KB | ||
| emp4.png | 31.1 KB | ||
| emp5.png | 62.9 KB | ||
| emp6.png | 217.3 KB | ||
| empform.png | 43.2 KB | ||
| sqlnew-setup.png | 256.9 KB | ||
| sqlnew-setup2.png | 56.1 KB | ||
| test_DB.py | 409.6 B | ||
| ▲ 109 total files | |||
Combatting Fraud with AI: Create a Fake Card ID Detector
https://DevCourseWeb.com
Published 4/2023
Created by Comfiny .,Technical Support Team
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 70 Lectures ( 4h 53m ) | Size: 2.8 GB
Build your own AI application from scratch using EasyOCR, OpenCV, Matplotlib & TKinter
What you'll learn
Learn to build a Data Scanning Tool as well as an Employee ID Card Scanner from scratch.
Learn about project concepts and the uses of data data scanning tool.
Learn about Artificial Intelligence, and EasyOCR.
Understand the complete hardware and software requirements for the project development.
Get to know about downloading and installing Microsoft Visual Studio Code, and setting up python and jupyter notebook extensions inside it.
Learn how to install and import python libraries.
Learn about building a basic GUI from Tkinter Library, building a cool and attractive progressbar, control panel and a detection tool.
Test Data Scanning Tools with some random data.
Understand the project concept of Employee ID detection system and the step wise approach to proceed with the same.
Start with the MySQL database where you will go through the download, installation, and the configuration of MySQL server and MySQL Workbench.
Learn database tables and essential sql commands or queries of MySQL database.
Learn the building of an attractive GUI to display the employee information.
Learn adding features of registration form using which the HR of the organization can onboard the new employees.
Learn about converting its source-code as a third-party python library to make the project complexity easier.
Learn about doing a live nstration of the projects, verification the ID cards and so on.
Learn about writing conclusions for your project.
Requirements
You should know basic python programming language such printing, "hello world", for loop, while loop, strings, functions etc - etc.
Hardware: A good PC with at least 4GB RAM and 100GB Storage. At least, 2GB GPU A good quality external webcam. (In my case, It is Lenovo 300 Full HD Webcam).
Software used: Microsoft Visual Studio Code, Python 3.9.x, Jupyter Notebook, MySQL Community Server, MySQL Workbench
Learner should have a good internet connection.
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