🧠 Digit Recognizer AI

A simple AI model that recognizes handwritten digits (0–9) using deep learning. Trained on the MNIST dataset, this model is a classic example of computer vision and image classification using neural networks.

🔍 Model Details

• Model Type: Neural Network
• Dataset: MNIST (1,000 train / 50 test)
• Accuracy: ~90%
• Input: 28x28 grayscale digit image
• Output: Digit class (0–9)

🛠 Tech Stack

• Python
• Numpy
• MNIST Dataset

📁 Files

• train.csv – Train the model
• recognizer.ipynb – Saved trained model
• test.csv – Optional UI (Streamlit/Flask)

📜 License

MIT License – Free to use and modify.