The Development of an Artificial Intelligent (AI) Driven Election Monitoring System

This paper explored the creation of an Artificial Intelligent (AI) Driven Election Monitoring System that will enhance transparency, accuracy, and credibility in the voting process. This project has aided in overcoming the long time difficulties in manual election monitoring with the implementation of automated surveillance, fraud detection and report generation on an integrated digital platform. The system examined the information in electronic voting databases, social media trends, and live feeds of monitoring to identify abnormalities and identify potential risk factors in real time using artificial intelligence (AI) algorithms. The front end of the system was created with React.js and the backend was created with Node.js and data was stored in PostgreSQL. The social analysis and fraud detection algorithms were represented as AI module using natural language processing and fraud detection algorithms. The results indicated that the built system was effective in minimizing human error, enhancing the response time, and making better decisions during elections. The findings confirm the ability of the system as a useful model in enhancing electoral integrity and accountability in the democratic processes.

Artificial Intelligence, Election Monitoring

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