Skip to content

The final project for the computer science club involves utilizing machine learning (Python) to recognize handwritten Arabic alphabets. We're working with a dataset of over 60,000 images, split into test and train categories. As my current model has achieved an efficiency rate of over 83%.

Notifications You must be signed in to change notification settings

Karim-Atef-Mohammed/AI-Arabic-Alphabet-Classifier

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

AI-Arabic-Alphabet-Classifier

The final project for the computer science club involves utilizing machine learning (Python) to recognize handwritten Arabic alphabets. We're working with a dataset of over 60,000 images, split into test and train categories. As my current model has achieved an efficiency rate of over 83%.

About

The final project for the computer science club involves utilizing machine learning (Python) to recognize handwritten Arabic alphabets. We're working with a dataset of over 60,000 images, split into test and train categories. As my current model has achieved an efficiency rate of over 83%.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages