🧮Abacus🧮

MNIST classification webapp!
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Table of Contents

1. About The Project
   • Built With

2. </li>
   <li><a href="#What I learned">What I learned</a></li>
   <li><a href="#roadmap">Roadmap</a></li>
   <li><a href="#contributing">Contributing</a></li>
   <li><a href="#license">License</a></li>
   <li><a href="#contact">Contact</a></li>
   <li><a href="#acknowledgments">Acknowledgments</a></li>
   

About The Project

This project is my first end-to-end Machine Learning project, featuring the MNIST dataset. I used the K-Nearest Neighbors Algorithm to classify the dataset with 97.55% precision, tuning the hyperparameters with Grid Search and preventing overfitting and underfitting via Grid Search. This model is then saved to a compressed pickle file where I use Flask to route it to a frontend webapp that's styled with TailwindCSS.

What I learned

• Basics of Flask
• Connecting a frontend to a backend
• K-Nearest Neighbors Algorithm
• Storing ML models with pickle
• Image preprocessing with PIL/Pillow
• Grid Search
• Cross Validation
• TailwindCSS

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Built With

• Flask
• TailwindCSS
• Scikit-learn
• Python
• HTML/CSS

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Roadmap

• Create initial model
• Reach 97% precision w/ Grid Search
• Setup Flask backend
• Create frontend
• Dockerize application

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Twitter - @Neclo0

Discord - Neclo#6412

Project Link: https://github.com/Necl0/Abacus

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