Crime rate is increasing now a days in many countries.in today's world with such higher crime rate and brutal crime rate bo one can feel safe.we have proposed a heuristic based clustring method to divide a given police district into optimal patrol beats based on crime and census data.
Crime rate prediction
Crime rate is increasing now a days in many countries.in today's world with such higher crime rate and brutal crime rate bo one can feel safe.we have proposed a heuristic based clustring method to divide a given police district into optimal patrol beats based on crime and census data.
The main objective of this project is to predict the crime rate and analyze the crime rate to be happened in future. Based on this information the official take charges try to reduce crime rate.
Crime analysis based on available information extract crime patterns.
We can implement this project by using Appache storm ,appachr spark tools and different algorithms clustering, K-mod,machine learning algorithms. And is project is web based project.
The benefits of this project is that we can able to minimize the crime rate. And compare the crime rate before prediction and the crime rate after prediction.
With the increasing advant of computerized systems crime rate can be minimized through this project. Where crime will happened automatically send message and location of that particular of that area to the police or responsible authorities.
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