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 # OpenCV-Face-Recognition
-Real-time face recognition project with OpenCV and Python
-<br><br>
-Links for complete Tutorial:
-<br>
-https://www.hackster.io/mjrobot/real-time-face-recognition-an-end-to-end-project-a10826
-https://www.instructables.com/id/Real-time-Face-Recognition-an-End-to-end-Project/
-<br>
-<p><img src="https://github.com/Mjrovai/OpenCV-Face-Recognition/blob/master/FaceRecogBlock.png?raw=true"></p>
+A real-time face recognition project built with OpenCV and Python. This project demonstrates how to detect and recognize faces in real-time using your webcam. It can be extended for applications such as security systems, attendance monitoring, or personalized interfaces.
+
+<p align="center">
+  <img src="https://github.com/Mjrovai/OpenCV-Face-Recognition/blob/master/FaceRecogBlock.png?raw=true" alt="Face Recognition Block Diagram" width="500"/>
+</p>
+
+## Features
+- Real-time face detection using OpenCV
+- Face recognition with pre-trained models
+- Supports multiple face recognition
+- Customizable training datasets
+- Lightweight and easy to integrate into other applications
+
+## Setup Guide
+
+1. **Clone the Repository**:
+   ```bash
+   git clone https://github.com/yourusername/OpenCV-Face-Recognition.git
+   cd OpenCV-Face-Recognition
+2. **Install Dependencies**:
+    Ensure you have Python 3.x installed. Install the required libraries using pip:
+   ```bash
+         pip install -r requirements.txt
+3. **Run the Project**:
+   To start face recognition, simply run the following command:
+   ```bash
+      python face_recognition.py
+4. **Customize**:
+   Modify the configuration in config.py to adjust parameters like the face recognition threshold or the training dataset.
+
+## Resources
+Real-time Face Recognition: An End-to-End Project on Hackster.io: A comprehensive guide on building a face recognition system from scratch.
+Instructables: Real-time Face Recognition Project: Step-by-step instructions with visuals for building the project.
+
+## Future Enhancements
+Multi-face Recognition: Extend the system to recognize multiple faces simultaneously.
+Accuracy Improvements: Implement more advanced algorithms or models to improve the recognition accuracy.
+User Interface: Create a simple graphical user interface (GUI) for easier interaction.
+
+## License
+This project is licensed under the MIT License.