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• Project Description: The Electronic Voting Machine Project is an innovative solution designed to streamline the voting process by utilizing Arduino-based hardware components and a face recognition-based voter validation algorithm implemented in Python. This project aims to create a secure and efficient electronic voting system that can be used in various elections.
• Project Objectives:
• Develop a functional Electronic Voting Machine (EVM) using Arduino as the core hardware platform.
• Implement a secure voter validation algorithm using face recognition techniques in Python.
• Provide a user-friendly interface through an LCD display.
• Ensure the integrity and security of the voting process.
• Enable easy configuration and scalability for different election scenarios.
• Hardware Components: The project will utilize the following hardware components:
• Arduino: The Arduino board will serve as the central processing unit for vote counting and data storage.
• Camera: A camera module will be used for capturing voter images for face recognition.
• Buzzer: A buzzer will be employed for audio feedback during the voting process.
• LCD Display: An LCD screen will provide information to voters and display voting results.
• Switch: A switch or button will be used to initiate the voting process and navigate the system.
• Voter Validation Algorithm: The voter validation algorithm will leverage face recognition techniques implemented in Python. It will involve capturing the voter’s face using the camera, processing the image to extract facial features, and matching them against a pre-registered database of eligible voters. Upon successful validation, the voter will be allowed to cast their vote.
• Project Workflow:
• Voters approach the EVM and initiate the process by pressing a button or switch.
• The camera captures the voter’s face.
• The Python-based face recognition algorithm verifies the voter’s identity.
• If the voter is eligible, the LCD displays candidate options.
• The voter selects their preferred candidate using the EVM interface.
• After confirmation, the vote is recorded in the Arduino.
• The LCD displays a confirmation message, and the buzzer provides audio feedback.
• The process repeats for each voter.
• Project Benefits:
• Enhanced security: Face recognition adds an additional layer of security to prevent unauthorized voting.
• Accuracy: The electronic system minimizes the chances of human error in vote counting.
• Transparency: The LCD display ensures that voters can see their choices and verify their votes.
• Efficiency: The electronic system can speed up the voting process and reduce waiting times.
• Scalability: The system can be easily adapted for various election scenarios.

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Project Code:

• Download project code from below button. If you want to understand code explanations then please watch YouTube video.

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YouTube Video:

• If you want to understand how to connect hardware with Arduino,
• And Program explanation for this project,
• And how to do this project by yourself then please watch our YouTube video.

https://youtu.be/2JD7qbV-f2c

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• So from our end we already provide code and detailed steps to create this project by yourself in our YouTube video.
• So if you want to save your money then watch our video and follow the steps that are mentioned in the video.
• Once you purchase a project then it will take at least 1 month to design your project.
• You have to pay the complete project cost while placing the purchase order.
• no refund no exchange policy

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