Here's a clean and informative README.md file for your Real-Time Number Plate Detection using Tkinter, OpenCV, and EasyOCR project:

---

# 🚘 Real-Time Number Plate Detection

A Python-based desktop application that uses your webcam to detect and read vehicle number plates in real-time. This app leverages **OpenCV** for video capture and image processing, **EasyOCR** for text recognition, and **Tkinter** for GUI.

---

## ✨ Features

- Live video feed from webcam
- Automatic number plate detection using contours and aspect ratio
- Real-time text extraction from plates using EasyOCR
- User-friendly interface with Tkinter
- Threaded OCR to avoid UI freezing

---

## 🛠️ Tech Stack

- **Python 3**
- **OpenCV**
- **EasyOCR**
- **Pillow (PIL)**
- **Tkinter**

---

## 🔧 Installation

1. **Clone the repository**

```bash
git clone https://github.com/your-username/Parking-Project.git
cd Parking-Project

2. Install dependencies

pip install opencv-python easyocr Pillow

🔸 Optional: If you have a GPU, set gpu=True in the code for faster OCR.

---

▶️ How to Run

python Number Plate.py

Make sure your webcam is connected and accessible.

---

📷 Sample Output

• Live camera feed with rectangles around detected plates
• Detected text shown below the video

---

📁 Folder Structure

Parking-Project/
│
├── Number Plate.py   # Main application file
├── README.md             # Project documentation
└── ...                   # Other supporting files (images, logs, etc.)

---

🙋‍♂️ Author

Vivek Sharma

Feel free to connect or contribute!

---

📝 License

This project is open-source and available under the MIT License.

---

### ✅ Tips:
- Replace `Number Plate.py` with the actual filename.
- Replace `https://github.com/your-username/Parking-Project.git` with your GitHub repo link.
- Add screenshots or videos in a `/media` folder and embed them if you want visual examples.

Let me know if you'd like a `.gitignore` file or contribution guide too!