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The web application allow users to upload images, which will be processed using computer vision techniques to identify objects in the image. The project is build and deploy to heruko CI/CD pipeline with GitHub Actions

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adiKhan12/flask-image-recognition-

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Flask Image Recognition

This is a simple Flask web application that uses machine learning to recognize handwritten digits. It allows users to upload an image of a handwritten digit, and then displays the predicted digit.

Requirements

To run this application, you will need the following software installed on your computer:

  • Python 3
  • Flask
  • OpenCV
  • NumPy
  • TensorFlow
  • Keras

You can install the Python dependencies using the following command:

pip install -r requirements.txt

Usage

To start the Flask development server, run the following command:

python app.py

This will start the server on http://localhost:5000/. You can access the web interface by opening a web browser and navigating to this address.

To use the application, simply upload an image of a handwritten digit and click the "Upload" button. The application will display the predicted digit.

Contributing

If you would like to contribute to this project, please fork the repository and make your changes in a feature branch. When you are ready to submit your changes, create a pull request and describe your changes in the comments.

License

This project is licensed under the MIT License. See the LICENSE file for more information.

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The web application allow users to upload images, which will be processed using computer vision techniques to identify objects in the image. The project is build and deploy to heruko CI/CD pipeline with GitHub Actions

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