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https://github.com/dussanfreire/neural-network__number-recognition-and-basic-arithmetic-operations


https://github.com/dussanfreire/neural-network__number-recognition-and-basic-arithmetic-operations

computer-vision neural-network

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Neural Network for Number Recognition and Basic Arithmetic Operations


About   |  
Features   |  
Technologies


## :dart: About

This project implements a neural network that uses a PC camera to recognize handwritten numbers and basic mathematical symbols, allowing users to perform operations between them. The results of the operations are then displayed graphically.

## :sparkles: Features

:heavy_check_mark: Number Recognition: Detects and interprets handwritten numbers using neural network algorithms.



:heavy_check_mark: Symbol Recognition: Recognizes basic arithmetic operators such as + and -.



:heavy_check_mark: Perform Arithmetic Operations: Executes basic arithmetic operations on recognized numbers and displays the results.



## :rocket: Technologies

This project is built using the following technologies:

- [Python](https://www.python.org/): Main programming language for building and training the neural network.
- [cv2](https://pypi.org/project/opencv-python/): Used for image processing and capturing video input from the camera.
- [Anaconda](https://www.anaconda.com/products/individual): Simplifies package management and deployment, making it easy to manage dependencies.

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