Analysis of women safety in Indian cities using machine learning

Women and girls have been facing a lot of violence in various public places in cities, which are leading to abuse, harassment. So through this project, we are going to analyze which city is safe and which city is not safe among all the mentioned locations from the user's posted messages. Users...

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Bibliographische Detailangaben
Hauptverfasser: Rani, K. Pushpa, Rajeswari, T. Raja, Chitra, N. Thulasi, Rao, B. Devananda
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung:Women and girls have been facing a lot of violence in various public places in cities, which are leading to abuse, harassment. So through this project, we are going to analyze which city is safe and which city is not safe among all the mentioned locations from the user's posted messages. Users can post messages or captions. From their messages, we predict Women's safety using Machine Learning algorithms. The algorithms will predict data from the data set, and it will generate an analyzed graph report. It also shows us the today trending city list, based on the number of hashtags of a mentioned city. In the end, we can predict the safest city among the mentioned places or locations.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0140055