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Ahmad Ali Rafique

MNIST Digit Recognition Project

Overview

This repository contains a complete MNIST digit recognition project that includes a Streamlit dashboard, a neural network model, and a Jupyter notebook. The project demonstrates the end-to-end process of training a neural network on the MNIST dataset and deploying it through a user-friendly interface.

Project Structure

  • app.py: Streamlit application for interactive digit recognition.
  • mnist_model.h5: Trained neural network model saved in HDF5 format.
  • mnist_digit_recognition_notebook.ipynb: Jupyter notebook for data exploration, model training, and evaluation.
  • requirements.txt: List of Python packages required to run the project.
  • data/: Directory for storing any dataset files (if needed).
  • images/: Directory for storing images like profile pictures.

Model Information

The MNIST Digit Recognition model is a feedforward neural network trained on the MNIST dataset, which consists of handwritten digits from 0 to 9. Key model details:

  • Model Type: Feedforward Neural Network
  • Architecture: 2 Hidden Layers
  • Activation Functions: ReLU (Hidden Layers), Softmax (Output Layer)
  • Training Epochs: 15
  • Batch Size: 200

How to Run the Dashboard

  1. Clone the Repository: 
    git clone https://github.com/yourusername/mnist-digit-recognition-project.git
  2. Navigate to the Project Directory: 
    cd mnist-digit-recognition-project
  3. Install Dependencies: Create a requirements.txt file with the following content: 
    streamlit
tensorflow
pillow
numpy
matplotlib
jupyter
    Install the dependencies using pip: 
    pip install -r requirements.txt
  4. Run the Streamlit App: 
    streamlit run app.py

How to Use the Jupyter Notebook

  1. Install Jupyter Notebook (if not installed): 
    pip install jupyter
  2. Open the Notebook: 
    jupyter notebook mnist_digit_recognition_notebook.ipynb
  3. Run the Cells: Follow the instructions in the notebook to explore the data, train the model, and evaluate performance.

About Me

Ahmad Ali Rafique
AI & Machine Learning Specialist

I am an AI and Machine Learning specialist dedicated to developing innovative solutions using advanced machine learning techniques. My expertise includes building and deploying models for various applications, with a focus on creating impactful and user-friendly solutions.

Contact Information

Feel free to connect with me or reach out if you have any questions or opportunities for collaboration!