eVote

This is a face recognition voting system implemented using HTML, CSS, JavaScript, MySQL, and Flask. The system allows users to register their faces and vote for candidates using facial recognition technology.

Features

• User Registration: Users can register their faces by capturing an image and associating it with their personal information.
• Candidate Registration: Administrators can register candidates by adding their details and capturing their images.
• Face Recognition: The system uses facial recognition algorithms to identify registered users and validate their votes.
• Voting: Registered users can cast their votes for candidates by submitting their facial image.
• Real-time Results: The system provides real-time updates on the vote count and displays the current standings.
• Admin Panel: Administrators have access to an admin panel to manage candidates, view voting statistics, and perform administrative tasks.

Technologies Used

• HTML: Markup language for creating the structure of web pages.
• CSS: Stylesheet language for designing the appearance of web pages.
• JavaScript: Programming language for adding interactivity and logic to web pages.
• MySQL: Relational database management system for storing user and candidate data.
• Flask: Python-based web framework for building the server-side application and handling requests.

Contribution

Contributions to the project are welcome! If you find any issues or have suggestions for improvement, please feel free to open an issue or submit a pull request.

Acknowledgements

• The face recognition functionality is based on the OpenCV library.
• The Flask web framework can be found at Flask.