/DigitRecognizer

Primary LanguagePython

DigitRecognizer

Digit Recognizer is a simple web application that uses a Convolutional Neural Network (CNN) to predict handwritten digits. The application is built using Flask and TensorFlow.

Features

Upload an image of a handwritten digit. Predict the digit using a trained CNN model. Sleek and user-friendly interface.

Installation

Clone the repository:

git clone https://github.com/kashyapnathan/DigitRecognizer.git

Navigate to the project directory:

cd DigitRecognizer

Install the required packages

Run the Flask application:

python app.py

Usage

  • Open a web browser and navigate to http://127.0.0.1:5000/.
  • Upload an image of a handwritten digit.
  • Click on the "Predict" button.
  • The predicted digit will be displayed on the screen.

Contributing

Pull requests are welcome

License

This project is licensed under the MIT License.