Udemy - Combatting Fraud with AI - Create a Fake Card ID Detector

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.8 GB
  • Uploaded Byfreecoursewb
  • Downloads23
  • Last checkedApr. 14th '23
  • Date uploadedApr. 13th '23
  • Seeders 8
  • Leechers10
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Infohash : 7E69DAFB74B66BA361F1E9FCBE0891920F83B73A

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.

Files:

[ DevCourseWeb.com ] Udemy - Combatting Fraud with AI - Create a Fake Card ID Detector
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Getting Started with Data Scanning Tool
    • 1. Getting Started with the First Project.mp4 (28.8 MB)
    • 10. Starting with The Basic GUI [Part-3].mp4 (45.6 MB)
    • 11. Designing Control Panel.mp4 (34.0 MB)
    • 12. Testing Camera [Part-1].mp4 (30.9 MB)
    • 13. Testing Camera [Part-2].mp4 (68.5 MB)
    • 14. Designing the Progressbar [Part-1].mp4 (31.4 MB)
    • 15. Designing the Progressbar [Part-2].mp4 (41.7 MB)
    • 16. Understanding the Detection Process [Part-1].mp4 (20.3 MB)
    • 17. Understanding the Detection Process [Part-2].mp4 (26.7 MB)
    • 18. Output of the Data Scanning Tool.mp4 (91.2 MB)
    • 19. Complete Source Code of the first project.html (8.3 KB)
    • 19.1 Data_Scanning_Tools.ipynb (18.3 KB)
    • 2. Introduction to AI.mp4 (62.6 MB)
    • 20. This is assignment is based on camera operations using OpenCV and Python..html (0.2 KB)
    • 21. Multiple Choice Questions (MCQs).html (0.2 KB)
    • 22. Coding Exercise based on Python Programming.html (0.2 KB)
    • 3. Introduction to OCR & EasyOCR.mp4 (33.3 MB)
    • 4. Hardware & Software Requirements.mp4 (17.0 MB)
    • 5. Product Links of the Recommended Hardware.html (2.3 KB)
    • 6. Introduction to Visual Studio Code.mp4 (54.4 MB)
    • 7. Python & VS CODE Extension Installation.mp4 (74.4 MB)
    • 8. Starting With The Basic GUI [Part-1].mp4 (51.5 MB)
    • 9. Starting with The Basic GUI [Part-2].mp4 (30.1 MB)
    2. Understanding Database Management System
    • 1. Getting Started with the Second Project.mp4 (19.4 MB)
    • 10. Source Code for MySQL Database.html (1.9 KB)
    • 10.1 Database.sql (1.7 KB)
    • 11. This assignment is based on OpenCV and Matplotlib library..html (0.2 KB)
    • 12. Multiple Choice Questions (MCQs).html (0.2 KB)
    • 13. Coding Exercise based on Python Programming..html (0.2 KB)
    • 2. Introduction to MySQL Database.mp4 (25.6 MB)
    • 3. Getting started with MySQL DataBase.mp4 (79.3 MB)
    • 4. Setting up MySQL DataBase.mp4 (94.0 MB)
    • 5. Creating MySQL Database.mp4 (37.3 MB)
    • 6. Working with MySQL Table.mp4 (31.6 MB)
    • 7. Inserting Records in Table [Part-1].mp4 (30.4 MB)
    • 8. Inserting Records in Table [Part-2].mp4 (51.5 MB)
    • 9. Accessing Database.mp4 (48.5 MB)
    3. Employee Information System
    • 1. Getting started with Employee Information Module.mp4 (21.1 MB)
    • 2. Python Libraries.mp4 (28.2 MB)
    • 3. Creating GUI of Employee Information System [Part-1].mp4 (53.2 MB)
    • 4. Creating GUI of Employee Information System [Part-2].mp4 (43.0 MB)
    • 5. Designing fields of Employee ID [Part-1].mp4 (44.1 MB)
    • 6. Designing fields of Employee ID [Part-2].mp4 (34.7 MB)
    • 7. Designing fields of Employee ID [Part-3].mp4 (43.2 MB)
    • 8. Designing fields of Employee ID [Part-4].mp4 (37.4 MB)
    • 9. Source Code of Employee Information System.html (8.9 KB)
    • 9.1 EmployeeInfo.ipynb (217.5 KB)
    • 9.2 EmployeeInfo.py (33.4 KB)
    4. Registration Form
    • 1. Creating a Registration Form UI [Part-1].mp4 (27.0 MB)
    • 10. Data Validation and Export [Part-1].mp4 (40.3 MB)
    • 11. Data Validation and Export [Part-2].mp4 (23.2 MB)
    • 12. Saving New Data in the Database.mp4 (32.7 MB)
    • 13. Adding Control Panel in The Registration Form.mp4 (40.0 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)
    • 16. Converting EI File as A Third Party Python Module [Part-2].mp4 (91.4 MB)
    • 17. Converting EI File as A Third Party Python Module [Part-3].mp4 (62.5 MB)
    • 18. Complete Code of the Registration Form.html (48.0 KB)
    • 18.1 EmployeeInfo.ipynb (217.5 KB)
    • 18.2 EmployeeInfo.py (33.4 KB)
    • 19. Coding Exercise based on Python Programming.html (0.2 KB)
    • 2. Creating a Registration Form UI [Part-2].mp4 (23.2 MB)
    • 3. Creating a Registration Form UI [Part-3].mp4 (18.5 MB)
    • 4. Designing a Profile Picture Feature in Registration Form.mp4 (53.8 MB)
    • 5. Specifying Image Path, File Locations & Saving Address.mp4 (27.6 MB)
    • 6. Uploading Image and Setting Destination Path.mp4 (39.7 MB)
    • 7. Generating Alert Message in the Registration Form.mp4 (51.8 MB)
    • 8. User Alert Message in the Registration Form.mp4 (69.7 MB)
    • 9. Data Saved Message in the Registration Form.mp4 (54.7 MB)
    5. Working with EmployeeID Scanner
    • 1. Starting with The Basic GUI.mp4 (59.5 MB)
    • 10. Data Validation [Part-2].mp4 (73.2 MB)
    • 11. Complete Output of the project.mp4 (156.9 MB)
    • 12. Complete Code of the second project.html (16.9 KB)
    • 12.1 EmployeeInfo.py (33.4 KB)
    • 12.2 EmplyeeID_Scanner.ipynb (31.0 KB)
    • 13. Complete Project files & Resouces.html (0.3 KB)
    • 2. Developing Console.mp4 (22.6 MB)
    • 3. The Control Panel.mp4 (29.9 MB)
    • 4. Testing Camera.mp4 (38.6 MB)
    • 5. Progressbar and Scan Status.mp4 (47.9 MB)
    • 6. Understanding the Detection Process [Part-1].mp4 (29.8 MB)
    • 7. Understanding the Detection Process [Part-2].mp4 (39.7 MB)
    • 8. Data Management.mp4 (30.6 MB)
    • 9. Data Validation [Part-1].mp4 (26.8 MB)
      • Data Scanning Tool
      • Data_Scanning_Tools.ipynb (18.3 KB)
      Database
      • Database.sql (1.7 KB)
      • data.sql (3.1 KB)
      • sqlnew-setup.png (256.9 KB)
      • sqlnew-setup2.png (56.1 KB)
      EmployeeIDScanner
      • EmployeeInfo.ipynb (217.5 KB)
      • EmployeeInfo.py (33.4 KB)
      • EmplyeeID_Scanner.ipynb (31.0 KB)
        • __pycache__
        • EmployeeInfo.cpython-39.pyc (17.1 KB)
      • code for mysql database.sql (1.7 KB)
      • code for mysql database.txt (1.8 KB)
      • dataSaved.mp3 (8.4 KB)
      • d

Code:

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