updated readme

README.md

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+title: Number Classifier
+emoji: 📚
+colorFrom: blue
+colorTo: pink
+sdk: docker
+pinned: false
+license: unknown
+short_description: doodle digits to identified number
+Digit Doodle App
+Overview
+The Digit Doodle App is an interactive web application that allows users to draw digits and get real-time predictions using a trained machine learning model. The app provides a simple and engaging way to explore AI-powered handwriting recognition.
+
+Features
+Interactive Drawing Canvas: Users can doodle digits on a web-based canvas.
+Real-Time Prediction: The app processes the drawing and predicts the digit using a trained model.
+Machine Learning Integration: Uses a deep learning model trained on handwritten digit datasets.
+Easy Deployment: Hosted on PythonAnywhere for online access.
+Tech Stack
+Frontend: HTML, CSS, JavaScript (Canvas API)
+Backend: Python Flask
+Machine Learning: PyTorch/
+Installation
+To set up the project locally:
+
+Clone the repository:
+git clone https://huggingface.co/spaces/sivakum4/numberclassifier
+cd numberclassifier
+Create a virtual environment and install dependencies:
+python -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+Run the app locally:
+python server.py
+Open your browser and go to http://127.0.0.1:7860/ to start doodling.
+Usage
+Open the app in a browser.
+Draw a digit (0-9) in the provided canvas.
+Click the "Predict" button to get the model’s prediction.
+Clear the canvas and try again!
+Future Enhancements
+Support for multi-digit recognition.
+Enhance UI for better user experience.
+Contributing
+Contributions are welcome! Feel free to fork the repo, create feature branches, and submit pull requests.
+