Crime Rate Prediction and Analysis using k-means Clustering Algorithm
ABSTRACT for Crime Rate Prediction and Analysis:
Prevention is better that Cure. Preventing a crime from occurring is better than investigating what or how the crime had occurred. Just like vaccination is given to a child to prevent disease, in today’s world with such higher crime rate and brutal crime happenings, it has become necessary to have a vaccination systems that prevents from crimes happening. By vaccinating society against crime it refers to various methods such as educating peoples, creating awareness, increasing efficiency and proactive policing methods and other deterrent techniques. Crime incident prediction has depends mainly on the historical crime record and various geospatial and demographic information.
Data mining is a process of extracting information and discovering patterns from large amount of data. Crime Analysis can be a lucrative application of data mining. Data mining can play an important role in analyzing and predicting crimes using the data stored in repositories. Crime rate in India is increasing day by day, becoming a topic of major concern, hindering good governance in India. Due to awful growth in crime rate, it has become impossible to analyze those crime related data and detect crime patterns or predict future crimes by intelligence agencies or local law enforcement agencies.
This project presents a detailed analysis of the various relevant crime patterns and statistical analysis of crime data. This study will be helpful to law enforcing agencies in making strategies and tactics to address crime and disorder.
PROJECT (Crime Rate Prediction and Analysis using k-means Clustering Algorithm) OUTPUT VIDEO:
ALGORITHM/ MODEL USED for Crime Rate Prediction and Analysis:
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- Monitor : 15’’ LED
- Input Devices : Keyboard, Mouse
- Ram : 2 GB
- Operating system : Windows 10 / 11.
- Coding Language : Python 3.10.9.
- Web Framework : Flask.