• V Santhosh Kumar
• Vinay Narayan Bhat
• Saravanan C

In India, according to the National Commission for Women (NCW), 23,722 complaints of crimes against women were received in 2020. Crime detection and prevention is a very crucial work which is in the hands of police, law enforcement agencies and local government. Crime against women is increasing at an alarming rate in almost all parts of India. Women in the Indian society have been victims of humiliation, torture and exploitation. This paper focuses on analysis of various types of crimes against women in various states of India. Linear regression and random forest algorithm was used to predict the crime rate against various crime types against women. Linear regression algorithm gave better prediction accuracy rate compared to random forest algorithm. A web portal was implemented using flask architecture and MongoDB to store data at the backend.

Crime Analysis, Flask Architecture, Linear Regression, Random Forest Classifier.

"Analysis and Prediction of Crime against women in India using machine learning algorithms.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a752-a758, June-2021, Available :http://www.jetir.org/papers/JETIR2106104.pdf

"Analysis and Prediction of Crime against women in India using machine learning algorithms.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa752-a758, June-2021, Available at : http://www.jetir.org/papers/JETIR2106104.pdf