Abstract:
Many nations have rising crime rates. With such a high crime rate and brutality, we need protection. This system reduces crime. Input crime data. Data mining algorithm predicted crime. K-means algorithm helps predict crimes.
K-means algorithm clusters co-offenders, organized crime groups, hidden links, link prediction, and crime data statistical analysis. This system prevents crime. Database crime data is analyzed. Data mining algorithm extracts patterns from database. System groups crime.
Crime locations, gangs, and times will be clustered. This predicts future crime. Admin will enter crime data for prediction. Admin can view criminal history. Crime prediction relies on historical crime data and demographic and geospatial information.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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