Intelligent Voting System with Biometric Face Recognition

Intelligent Voting System with Biometric Face Recognition

Dr. Chandru A S1, Sachin K K2, Abhiram M P3, Shivling4, K Gouri5

1Dr. Chandru A S, HOD & Associate professor Of Information Engineering, Vidya Vikas Institute of Engineering and Technology, Mysuru, Karnataka, India

2Sachin K K, Dept. Of Information Engineering, Vidya Vikas Institute of Engineering and Technology, Mysuru, Karnataka, India

3Abhiram M P, Dept. Of Information Engineering, Vidya Vikas Institute of Engineering and Technology, Mysuru, Karnataka, India

4Shivling B, Dept. Of Information Engineering, Vidya Vikas Institute of Engineering and Technology, Mysuru, Karnataka, India

5K Gouri, Dept. Of Information Engineering, Vidya Vikas Institute of Engineering and Technology, Mysuru, Karnataka, India

Abstract - This paper presents an Intelligent Voting System that uses biometric face recognition to improve the security and accessibility of elections. Traditional voting methods often face issues like identity fraud and limited access. To solve these problems, we propose a secure, remote voting platform developed with Python, React JS, Vite, TypeScript, JavaScript, and FastAPI. It uses facial recognition tools such as Tiny Face Detector and the face recognition library. Voters are authenticated through real-time face scans and verified against a database before being allowed to vote, ensuring one vote per person. The system enables voting from any location while maintaining high security and accuracy. By combining biometric verification with modern web technologies, this solution offers a scalable, efficient, and trustworthy approach to digital voting.

Key Words: Python, Voting System, Face Recognition, PostgreSQL, Vite, TypeScript, JavaScript, React, FAST