Rakshak: A Child Identification Software for Recognizing Missing Children Using Machine Learning-Based Speech Clarification

Ashutosh Dixit, Preeti Sethi and Puneet Garg
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Ashutosh Dixit: J. C. Bose University of Science and Technology, YMCA, Faridabad, India
Preeti Sethi: J. C. Bose University of Science and Technology, YMCA, Faridabad, India
Puneet Garg: ABES Engineering College, Ghaziabad, India

International Journal of Knowledge-Based Organizations (IJKBO), 2022, vol. 12, issue 3, 1-15

Abstract: Almost every country in the world is facing the issue of child trafficking. Besides abduction, children below 10 years sometimes get missed from their homes or other locations due to many reasons. following the criminal record, many of the abducted or missed children got received by police officials where majorly officials face difficulty to get correct information as the founded children are not in their normal state in general due to fear factor or less trust. It is also observed that such children also usually start stammering due to uncontrolled emotions. In this kind of situation, Police officials would not get the exact information of founded children and unable to contact their respective guardians. This paper proposes a possible solution “Rakshak” for this kind of difficult situation. The Rakshak is Machine Learning based software which inputs the recorded voice of such children by police officials and returns the voice as well as text output after being corrected by various techniques of the Rakshak.

Date: 2022
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