Handwritten Digits Recognition Web Application
Example 1
This project is a combination of machine learning and web app development.
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A project to create a digit recognition web application using Streamlit
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Developed a pipeline to train and validate a model on the MNIST Handwritten dataset.
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Fine-tuned the model until having a model that could confidently make inferences.
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Constructed an intuitive and user-friendly web interface using the Streamlit Python library.
A robust web app where users can draw a digit and the application, using the trained model, outputs the probabilities of what the drawn digit might be.