Crime Data Analysis and Prediction using Machine Learning
Crime Data Analysis using Machine Learning, this project developed using python programming language and Django framework is used for developing web interface. User have to run python script and it will generate a URL, that particular URL has to paste in any browser to run that project then user have to first login with credentials, then home page will open where user can analysis data from Crime Against Women with respect to every state or Victims age. or else Victims of Murder. Model will generate a graphs according to user input and create bar graphs according to victims age.
Crime Data Analysis using Machine Learning
The main objective of this project is to track crimes record in a society. Analyzing of crimes happening in the world gave us broader view to understanding the crime regions and it can be use to take necessary steps to reduce crime rates. In this project we will predict crime according to regions and age accordingly. Crime Analysis using machine learning recognizing crime patterns will allow to tackle problem with different approaches in specific crime category and improve security measure in society.
Crime is increasing day by day and main issue is it growing continuously in complexity and intensity. The patterns of crime also changing constantly, because of that it is difficult to explain behavior in crime patterns. Crime is categorially classified into various types like murder, theft, rape, kidnapping, etc. Law enforcement agencies collects crime data with the help of information technologies. Crime occurrence is unpredictable and from past searches it was found that there are various factors like employment and poverty that affects crime rate.
Crime Analysis and Prediction using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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