• Vivek Amrutkar
• Ajay Sanas
• Prasad Umbarkar
• Shubham Sonawane
• Prof.S.N.Uke

Crime is most important factor in smart city. Different level of intensity and versatility is found in crimes day by day which results in great loss to society in terms of monitory loss, social loss and further it enhances the level of threat against the smooth livelihood in the society. To overcome this problem the computing era can help to reduce the crime or even may be helpful in predicting the crime so that sufficient measures can be taken to minimize the loss to property and life. The crime rate expectation methodologies can be connected on chronicled information accessible in the police records by looking at the information at different points like reason of crime, recurrence of similar kind of crimes at specific location with other parameters to prepare model the crime prediction also in proposed system Fake crime detection, Shows Shortest Distance route from current place to police station on map.

Crime analysis, Cloud computing, Naive Bayes

"Crime Analysis, Detection and Prediction in Smart City", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.52-55, June 2019, Available :http://www.jetir.org/papers/JETIR1907Q56.pdf

"Crime Analysis, Detection and Prediction in Smart City", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp52-55, June 2019, Available at : http://www.jetir.org/papers/JETIR1907Q56.pdf