E-Buddy for Child Labour

DOI

No DOI

Published In

Volume 3, Issue 6 (2022)

Published Online

November-December 2022

Pages

279-280

Article Type

Research Article

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Abstract: In view of the concern, we are putting out a considerate but technological strategy that might ultimately entirely resolve the problem. The purpose of this essay is to further the idea of a child labor identification tool. Stop such illegal activities in the fields of brick making, coal mining, mining for cosmetics, etc. in South Asian countries such as Bangladesh, India, Pakistan, and Nepal. Due to the lack of an open-sourced child laborers dataset in the context of the specified place, a beautiful dataset of this kind has been created in this project. A Convolutional Neural Network (CNN)-based model for recognizing child labor has been created using the dataset. Additionally, the accuracy of theresults has been compared using two well-known transfer learning approaches.