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MafWays employs a multi-class CNN with TensorFlow, Keras, and Scikit-Learn for image recognition, providing accurate classification of various images.

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CitrusHackProject - MafWays

Description

MafWays is an ambitious project driven by our passion for pushing the boundaries of technology, specifically in the field of Artificial Intelligence (A.I.). Our main focus is on image recognition, aiming to explore and advance the capabilities of this technology. This ties into paving the way for new frontiers with image recognition in new areas such as recognizing sign languages and the recently created image recognition for different languages.

Installation

  1. Clone the project repository
git clone https://github.com/mchen04/CitrusHackProject.git
  1. Install the files on the requirements.txt
pip install -r requirements.txt

Usage

All features of the program is imlemented in the website: (enter website url)

Credit

Michael Chen - https://github.com/mchen04

Freddy Song - https://github.com/MrFrooty

Nolan Chu - https://github.com/Nolancchu

Sazen Shakya - https://github.com/sshakya03

License

This project is licensed under the MIT License.

How to Contribute

If you would like to contribute to this project, please follow these guidelines:

  1. Fork the project repository to your GitHub account.
  2. Clone the forked repository to your local machine.
  3. Create a new branch for your feature or bug fix.
  4. Make your changes, ensuring they adhere to the project's coding conventions and best practices.
  5. Commit your changes with descriptive commit messages.
  6. Push the changes to your forked repository.
  7. Submit a pull request to the main repository, describing the changes you have made and the purpose of the pull request.

About

MafWays employs a multi-class CNN with TensorFlow, Keras, and Scikit-Learn for image recognition, providing accurate classification of various images.

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  • Python 98.5%
  • Other 1.5%