Project Title

Handwritten Digits Recognition model

Project description

In the digital age, digit recognition plays a pivotal role in diverse applications, from postal services and educational settings to digital security. This project is focused on Handwritten Digit Recognition using a Convolutional Neural Network (CNN) with Cross Validation.

Table of Contents

Getting Started

You will need to install or import necessary tools and libaries like pandas, numpy, tensorflow, scikitlearn, keras, cv2, os.

Acknowledgments

This project is thanks to the following contributors:

1. Olorunnishola Taiwo
2. Victor Bassey
3. Aladesuyi Mofiyinfoluwa
4. Abdulquadir Muktar
5. Akimsah Jedaiah

Special thanks to our mentor, Tayo Jabar for putting us through and always being willing to help out. Thank you to the AISaturdaysLagos cohort 8 for making any of this possible as well.

Useful resources:

1. Building Predictive model
2. What is predictive modelling
3. Youtube

Contact

1. Tayo Jabar

2. Olorunnishola Taiwo

3. Mofiyinfoluwa Aladesuyi

4. Victor Bassey

5. Abdulquadir Mukhtar

6. Akimsah Jedaiah