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

Authors

  • Prof. Ratnesh Kumar Choudhary  Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Near Jain International School, Yerla Village, Kalmeshwar Road, Nagpur, Maharashtra, India
  • Prof. Mayuri Botre  Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Near Jain International School, Yerla Village, Kalmeshwar Road, Nagpur, Maharashtra, India
  • Mr. Hukumchand Narwre  Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Near Jain International School, Yerla Village, Kalmeshwar Road, Nagpur, Maharashtra, India
  • Ms. Akanksha Adase  Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Near Jain International School, Yerla Village, Kalmeshwar Road, Nagpur, Maharashtra, India
  • Ms. Achal Jichkar  Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Near Jain International School, Yerla Village, Kalmeshwar Road, Nagpur, Maharashtra, India
  • Ms. Nidhi Patekar  Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Near Jain International School, Yerla Village, Kalmeshwar Road, Nagpur, Maharashtra, India
  • Mr. Jagannath Pradhan  Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Near Jain International School, Yerla Village, Kalmeshwar Road, Nagpur, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT2390643

Keywords:

Image Classification, Similarity Checking Algorithm, User Authentication, Domestic Workers, Household Workers

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-12-30

Issue

Volume 9, Issue 6, November-December-2023

Section

Research Articles

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How to Cite

[1]
Prof. Ratnesh Kumar Choudhary, Prof. Mayuri Botre, Mr. Hukumchand Narwre, Ms. Akanksha Adase, Ms. Achal Jichkar, Ms. Nidhi Patekar, Mr. Jagannath Pradhan, " Transforming Domestic Helper Recruitment and Management with Deep Learning : A Web Application, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 6, pp.333-343, November-December-2023. Available at doi : https://doi.org/10.32628/CSEIT2390643