Handwritten Character Recognition using CNN

Project Overview:

Welcome to the Handwritten Character Recognition project repository! This project, sponsored by the Central Bank of India, utilizes Convolutional Neural Networks (CNN) to achieve accurate recognition of handwritten characters.

Key Features:

• Model Development:

  • Implemented a CNN architecture for effective handwritten character recognition.

• Dataset:

  • Utilized a diverse dataset for model training.
  • https://www.kaggle.com/code/archanasawant/a-z-handwritten-data/input

• Accuracy:

  • Achieved an impressive accuracy rate of 93%.

• Sponsorship:

  • Proudly sponsored by the Central Bank of India.