Abstract
Girls and boys have the same entitlement to human rights but they face different challenges in accessing them. Girls in the society under consideration face more violence and sexual harassment. The violence faced by girls can be physical, sexual or emotional in nature with each changing in severity with many a times leading to consequences that can last a life time. According to the International Police data of 2015, girls aged 12–17 are violently victimized at a rate nearly six times higher than that for younger girls, and almost twice as high as the rate for adult women [1, 2]. The age group of these girls is school going and hence it can be states that a lot of violence takes place at their Educational Institutes or while travelling to or from these institutes. Through this study, researchers are trying to accurately predict the type of violence experienced by an adolescent girl at home, educational institutions and public places using machine learning technique so as to help prevent the trauma faced by these adolescent girls.
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Acknowledgement
For this study, the researchers would like to acknowledge the support and trust shown by the Schools and Junior Colleges of Mumbai from where the data has been collected. Without their approval, guidance and faith, this study wouldn’t have had been possible. Researchers would also like to thank the experts who have helped in developing this tool with their guidance and criticism.
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Mishra, P.M., Kulkarni, S. (2022). Prediction of Violence Against Adolescent Girls Using Machine Learning Techniques. In: Abraham, A., et al. Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). SoCPaR 2021. Lecture Notes in Networks and Systems, vol 417. Springer, Cham. https://doi.org/10.1007/978-3-030-96302-6_17
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DOI: https://doi.org/10.1007/978-3-030-96302-6_17
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