Employee Proctoring System with Neural Networks

The Employee Proctoring System with Neural Networks introduces a comprehensive solution for monitoring and ensuring the integrity of remote work and online assessments. By employing facial recognition and behavior analysis powered by neural networks, the system proactively identifies potential cheating behaviors and ensures the authenticity of employees’ work. This project is particularly relevant in the era of remote work, contributing to the maintenance of ethical standards and trust in virtual professional environments.

Software Requirements :-

1. Operating System: Win 7 or more

2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3

2. Hard disk-5GB

3. Memory-2GB RAM