HomeEngineering Projects For YouSmart Electronic Voting Machine Using Arduino

Smart Electronic Voting Machine Using Arduino

The motivation behind this EVM project is to create an electronic voting machine (EVM) that will help overcome the challenges posed by manual voting machines.

It aims to be cost-effective and time-saving, and eliminate potential fraudulent activities within the paper-based voting system.

In scenarios such as village elections, school elections, or college elections, this smart and budget-friendly EVM can ensure fair and efficient electoral processes.

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This Electronic Voting Machine project features eight switches that are labeled S1 to S8, each corresponding to a candidate, and an additional switch S9 that is designated for displaying the results.

An LED is connected to D3 (pin 18) of Arduino Uno, while a buzzer is connected to D2 (pin 17) to indicate vote status.

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Voters can cast their votes for their preferred candidates. The cumulative vote count for each candidate is displayed on an LCD screen, and the final result can be calculated by pressing the result button (switch S9). Fig. 1 shows the prototype of our Smart Electronic Voting Machine.

Also, check the Biometric Electronic Voting System with Real-Time Authentication and Keypad.

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Navpreet Singh Tung, In-charge AI & Robotics Lab, Sandeepani Gurukul
Navpreet Singh Tung, In-charge AI & Robotics Lab, Sandeepani Gurukul
Navpreet Singh Tung is a seasoned Robotics and AI educator with over 15 years of hands-on experience in teaching and training across robotics, artificial intelligence, IoT, and advanced software technologies. He has worked extensively with tools and platforms such as MATLAB, embedded systems, microcontrollers, and circuit design, bridging the gap between theoretical concepts and real-world applications. With a strong foundation in electronics, electrical systems, and automation, Navpreet specialises in delivering STEM education through practical, project-based learning. His expertise spans Python programming, AI development, game development, and hardware electronics, making complex technologies accessible to students and innovators. Currently, he is actively involved in training students in AI, robotics, IoT, Scratch programming, 3D modelling, 3D printing, and mobile robot design. Navpreet holds a Master of Technology (MTech) in Electrical Engineering.

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