🧠 MNIST Digit Classifier

A simple Deep Learning project that uses a trained neural network to recognize handwritten digits from uploaded images. Built using Keras, TensorFlow, and Streamlit.

📌 Features

• Upload a 28x28 grayscale image of a digit (0–9)
• Deep learning model predicts the digit with confidence scores
• Web interface built with Streamlit
• Trained on the classic MNIST dataset

🛠 Technologies Used

• Python
• TensorFlow / Keras
• Streamlit
• NumPy, PIL (Image handling)

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📂 How to Run Locally

# Clone the repo
git clone https://github.com/Logicrithm/mnist-digit-classifier

# Install dependencies
pip install -r requirements.txt



# Run the app
python -m streamlit run app.py