# C-net ඞ

## Description
C-net ඞ is a Python project designed to read and predict numbers from the MNIST dataset using neural networks.

## Visuals
![Insert GIF or Screenshot here](link_to_visual.gif)

## Roadmap

- [x] Implemented an Image Loader for MNIST dataset.
- [x] Created a prediction function for recognizing handwritten digits.
- [x] Developed matrix calculation methods to support neural network operations.
- [x] Added functionality to load and save neural network models.
- [x] Successfully trained the network on MNIST images.
- [x] Achieved an accuracy rate with a confidence level above 90%.
- [ ] Ongoing optimization and code refinement.

## Authors and Acknowledgments
This project was brought to you by the following contributors:
- Stornig, Jakob
- Schleicher, Thomas
- Dworski, Daniel
- Walcher, Raphael

We would like to express our gratitude to the following project, which served as an inspiration and reference:
- [MNIST from Scratch](https://github.com/markkraay/mnist-from-scratch) by markkraay

## Project Status
The project is considered finished, but ongoing optimizations and improvements may still be in progress.