Inspiration
-->Criminal Data’s is universally accessible and flexible to use. -->By using structured and unstructured data method criminals are identified. -->AI that makes data driven available anytime anywhere and at any scale. -->Criminal data’s can be cloud enabled, so that it can be stored easily.
What it does
-->The 3 data factors used in crime prediction are Crime location & time of crime. -->Crime prediction depends entirely on enormous volume of data, i.e., historical data recorded from CCTVs, population data, weather forecasts, data from public events, social media interactions, data related to economic development, etc. -->The main goal of the constructed model is predicting the type of the crime, according to the unstructured data of the crime incident reports for improving the policeman decisions and reduce their investigation efforts. -->Criminal Data’s are collected to train the model.
How we built it
-->We built it using python, java, numpy, pandas, folium.
Challenges we ran into
-->Collection of data from the authorized persons.
Accomplishments that we're proud of
-->By helping the higher officials to do their duties in much effective manner.
What we learned
-->We have explored about the difficulties faced by the police department and proud to be a part for publishing a solution for it.
What's next for Predictive Analytics Solutions Using AI
-->Using the unstructured and structured data the model will be trained to establish the better solution for nation.
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