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This project aims to build an AI agent to recognize handwritten digits using machine learning algorithms. The agent will extract the handwritten text from an image and classify it into their respective digit labels using a machine learning module trained upon the MNIST dataset by the SVM algorithm.

License: MIT License

Python 100.00%
ml svm python sickit-learn machine-learning

1n0ne-svm-project's Introduction

1n0ne-SVM-project

This project aims to build an AI agent to recognize handwritten digits using machine learning algorithms. The agent will extract the handwritten text from an image and classify it into their respective digit labels using a machine learning module trained upon the MNIST dataset by the SVM algorithm.

you will find in this repository 5 files first: HandWritten_Recognition.py which is the SVM model & preliminary test vai a number pic from 0 to 9 I attached the numbers pic in testnumber folder

second: testing.py file which is contain a small handwriting application developed by python using pygame library and skimage library, The application facilitates users to write numbers on the screen to be predicted by the module

finally: the REPORT.pdf which is a detailed project report

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