Human trafficking is a modernist form of heavy labor and is a well-known fact throughout the world. In addition to drug trafficking and the arms industry, sex trafficking is now the second-largest illegal activity in the world and is a growing crime. Sex trafficking is a crime when women or children participate by force in commercial sexual acts. While the twilight world of sexual relations around the world corresponds to an intriguing theme in our way of life, many people are unaware that sexual relations are happening on our terraces. The most common forms of sex trafficking are including forced labor, sexual exploitation, and child trafficking. There are many forms of human trafficking that are not as well-known but that, nevertheless, also require legal and policy responses. In this research, the authors attempted to analyze the crime of women in three phases. The first step is the analysis of the types of crimes, especially for women in every state of India. In the next step, the analysis of the purpose of kidnapping women and children in India and identified the most affected age group. Finally, based on previous results, the authors described the health problems of people affected by sex trafficking. The authors used three machine learning algorithms, such as the hierarchical agglomerative clustering algorithm, the multivariate linear regression and the OneR algorithm for analysis. The above methods are solved through the use of the R software and identify valuable results, such as the dangerous states of India in the crimes of women, identify the age group most affected for kidnapping and abduction and discussing symptoms important for victims of sex trafficking. © 2020, Research Trend. All rights reserved.