Face Authentication System using Python and SQL Overview: This project implements a robust Face Authentication System using Python and integrates it with a SQL database for secure user management. The system utilizes facial recognition technology to authenticate users, providing a seamless and secure access control mechanism.

Features: Facial Recognition: Leveraging state-of-the-art facial recognition algorithms for accurate and reliable user authentication. SQL Database Integration: Storing user data securely in a SQL database, ensuring efficient user management and retrieval. User Registration: Allows users to register their facial features for subsequent authentication. Access Control: Granting access to authorized users based on facial recognition results. Logging and Reporting: Comprehensive logging of authentication attempts and system activities, with reporting capabilities. Technologies Used: Python: The core programming language for implementing facial recognition algorithms and system logic. OpenCV: Utilized for image processing and facial feature extraction. SQL Database: Integrated for secure storage and retrieval of user data. Logging and Reporting Tools: Implemented to track system activities and generate reports. Installation: Clone the repository:

bash Copy code git clone https://github.com/yourusername/Face-authentication-system-using-python-and-SQL.git Install dependencies:

Copy code pip install -r requirements.txt Set up the SQL database: [Provide instructions if needed]

Run the application:

css Copy code python main.py Contributing: Contributions are welcome! If you would like to contribute to the project, please follow our contribution guidelines.

License: This project is licensed under the MIT License.

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