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Transforming Domestic Helper Recruitment and Management with Deep Learning : A Web Application

Author

Listed:
  • Ratnesh Kumar Choudhary
  • Mayuri Botre
  • Hukumchand Narwre
  • Akanksha Adase
  • Achal Jichkar
  • Nidhi Patekar
  • Jagannath Pradhan

Abstract

In our research, we tackle the challenge faced by families in finding reliable household workers like caretakers and gardeners. Many struggles with trust issues when hiring help for their homes. To address this, we've developed a secure web application. Users can connect with background- checked workers, ensuring the safety of their homes. The application consists of modules for different users - Admin, Worker, and User - each serving a specific purpose. What makes our app unique is the integration of Deep learning. The DL verifies uploaded images to ensure they are of human faces, enhancing security. Additionally, it checks the similarity of images of workers to maintain consistency and reliability in their profiles. By implementing these features, our web application aims to provide a trustworthy platform for households seeking reliable help, contributing to a safer and more secure hiring process.

Suggested Citation

  • Ratnesh Kumar Choudhary & Mayuri Botre & Hukumchand Narwre & Akanksha Adase & Achal Jichkar & Nidhi Patekar & Jagannath Pradhan, 2023. "Transforming Domestic Helper Recruitment and Management with Deep Learning : A Web Application," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(6), pages 333-343, December.
    • Handle: RePEc:jbh:ijsrcs:v9:y2023:i6:id:hcseit2390643
    DOI: 10.32628/CSEIT2390643
    Note: Article URL: https://ijsrcseit.com/CSEIT2390643
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