https://github.com/harika1807/codeclauseinternship_handwrittendigitsrecognition

A deep learning project for recognizing handwritten digit sequences using TensorFlow.
https://github.com/harika1807/codeclauseinternship_handwrittendigitsrecognition

deep-learning digit-recognition mnist python tensorflow

Last synced: 2 months ago
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A deep learning project for recognizing handwritten digit sequences using TensorFlow.

• Host: GitHub
• URL: https://github.com/harika1807/codeclauseinternship_handwrittendigitsrecognition
• Owner: harika1807
• License: mit
• Created: 2025-04-06T07:45:39.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-06T11:09:07.000Z (over 1 year ago)
• Last Synced: 2025-04-09T22:07:26.775Z (about 1 year ago)
• Topics: deep-learning, digit-recognition, mnist, python, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 2.21 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Handwritten Digits Recognition 🔢🧠

![Project Banner](https://github.com/harika1807/CodeClauseInternship_HandwrittenDigitsRecognition/blob/main/HandwrittenDigitRecognition.png)

A deep learning-based system that recognizes handwritten digit sequences using Convolutional Neural Networks (CNN) and TensorFlow/Keras.

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/harika1807/CodeClauseInternship_HandwrittenDigitsRecognition/blob/main/HandWrittenDigitsRecognition.ipynb)

---

## 📌 Features

- Recognizes handwritten digit sequences from images

- Uses TensorFlow and Keras with CNNs

- Preprocessing with OpenCV and NumPy

- Achieves high accuracy

- Works with multi-digit sequences

---

## 🚀 Demo

Try it live 👉 [Open in Colab](https://colab.research.google.com/github/harika1807/CodeClauseInternship_HandwrittenDigitsRecognition/blob/main/HandWrittenDigitsRecognition.ipynb)

---

## 🛠️ Technologies Used

- Python 🐍

- TensorFlow & Keras

- OpenCV

- NumPy

- Matplotlib

- Google Colab

---

## 📦 Installation

1. **Clone the repository**

   ```bash

   git clone https://github.com/harika1807/CodeClauseInternship_HandwrittenDigitsRecognition.git

   cd CodeClauseInternship_HandwrittenDigitsRecognition

2. **Install dependencies**

   ```bash

   pip install -r requirements.txt

🧪 **How to Use**

You can either:

Run HandWrittenDigitsRecognition.ipynb in Google Colab

Or

Use it locally by running the code in any Jupyter Notebook

📁 **Project Structure**

   ```bash

      ├── HandWrittenDigitsRecognition.ipynb   # Main notebook

      ├── requirements.txt                     # Dependencies

      ├── LICENSE                              # License file (MIT)

      ├── README.md                            # Project documentation

      ├── banner.png                           # Project banner

```

📜 **License**

This project is licensed under the MIT License. 

See the LICENSE file for details.

🤝 **Contributing**

Contributions are welcome!

1. Fork the repository

2. Create your feature branch:

   ```hash

   git checkout -b feature/FeatureName

3. Commit your changes

4. Push to the branch

5. Open a pull request 🚀

Made with ❤️ as part of the CodeClause Artificial Intelligence Internship.