Handwritten Digit Generator (MNIST)

This project is a web application that uses a locally trained AI model on the MNIST dataset to generate an image of a handwritten digit based on a user-provided number.

The model learns the visual style of handwritten digits and produces a synthetic image corresponding to the requested digit (0–9).

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Features

• Generate handwritten digit images (0–9)
• Uses a local AI model trained on the MNIST dataset
• Simple web interface
• Fast inference without external APIs
• Fully offline (after setup)

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How It Works

1. The user enters a digit (0–9) in the web interface
2. The backend sends the digit to the local AI model
3. The model generates a handwritten-style image
4. The generated image is returned and displayed in the browser

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Model

• Dataset: MNIST
• Task: Image generation of handwritten digits
• Training: Local training (no cloud dependencies)
• Output: Grayscale image representing the requested digit

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Usage

1. Open the website in your browser
2. Enter a number to generate and a number of images you want to get
3. Click Generate
4. View the generated handwritten digit image