📷 MNIST Digit Classifier

Welcome to MNIST Digit Classifier, a digit classification app powered by advanced machine learning models.

🌟 Features

• MNIST Digit Classifier: Accurately predicts handwritten digits from 0 to 9. 🧮

• Interactive & Intuitive UI: 🖥️ A modern, sleek user interface designed for easy navigation and enhanced user experience, with a dark theme option and custom animations.

• Real-time Predictions: 💡 Upload your image and get an instant prediction with the corresponding confidence score.

• Model Comparison: 📊 Evaluate the performance of both models through accuracy metrics and confidence levels for each prediction.

• Advanced Technology: Leveraging cutting-edge machine learning algorithms including CNNs (Convolutional Neural Networks) for high accuracy image and digit predictions.

🔥 Live Demo

• MNIST Digit Classifier:

🖼️ Preview

MNIST Digit Classification

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🚀 How to Use DigiPic-Classifier

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MNIST Digit Classification App

1. Clone the Repository:

   git clone https://github.com/SamarthGarge/MNIST_Classification.git

2. Navigate to MNIST App Directory:

   cd SamarthGarge/MNIST_Classification/mnist_classification

3. Install the Required Dependencies:

   pip install -r requirements.txt

4. Run the MNIST Streamlit App:

   streamlit run app.py

5. Open the App: Open your browser and go to http://localhost:8501 to use the MNIST Digit Classification app.

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📈 Future Enhancements

• Adding more sophisticated image classification models.
• Deploying MNIST Classifier live for broader accessibility.
• Implementing additional UI improvements and advanced animations.