Predicting Employee Layoffs With Machine Learning : A Social Network and Data Mining Approach

Authors

  • T Sai Lalith Prasad 1 Assistant Professor, Department of Artificial Intelligence and Data Science, Vignan Institute of Technology and Science, Hyderabad, India Author
  • Gunda Monika 2 UG Student, Department of AI&DS, Vignan Institute of Technology and Science, Hyderabad, India Author
  • Esargundi Rishikesh UG Student, Department of AI&DS, Vignan Institute of Technology and Science, Hyderabad, India Author
  • Kandagatla Ganesh UG Student, Department of AI&DS, Vignan Institute of Technology and Science, Hyderabad, India Author

DOI:

https://doi.org/10.33425/3066-1226.1127

Keywords:

Support Vector Machine, Machine learning, Random Forest Classifier

Abstract

Uniform Detection Using Deep Learning applies computer vision techniques to identify and classify uniforms like identification cards through CNNs. ID cards are important for the proper identification of persons in any organization, making it easier and fast to determine their association with the institution. This paper focuses on detecting and authenticating individuals along with their respective ID cards. By determining whether a person is wearing their assigned ID card, the system ensures that only authorized individuals gain access to the institution's premises. It also verifies the individual’s affiliation, enhancing security and minimizing the risk of unauthorized entry. Besides security, the system includes an attendance tracking feature, allowing educational institutions to manage and monitor attendance records efficiently. The automation of this process reduces manual intervention, eliminates errors, and improves operational efficiency. The real-time detection and authentication capabilities make the system an invaluable tool for environments where ID cards are mandatory. This solution improves security while making everyday business processes much easier. Future expansion may include sophisticated tracking features and interfaces with other security systems, which makes it a complete tool for efficient and secure management.

Published

2025-07-28

Issue

Section

Articles