The problem Suraksha Port : The Crime Visualizer solves

The problem it mainly focuses on is to do the analysis on the investigation data or the crime records provided by the police station. After analyzing the data, we can see the solution of the analysis in the form of data visualization which gives us more insights. The first feature is the crime mapping which shows the hotspot of the crime by the particular type of the crime. Through crime mapping, we can explore the regions like which type of crime is more and where, No. of crimes in a particular district, etc. The crime mapping works on a dynamic model which contains the different types of filtration and slicers to explore the crime hotspot in a particular region. The second feature is Crime analysis which works on the predefined questions and provides the solution in the form of data visualization which is easy to understand. Also, it helps in making the decision according to the result to reduce the crime rate in the hotspot region and also to analyze which area is prone to which type of crime.

Challenges we ran into

The challenges we ran into is to find the proper dataset of the crime records provided by the police station. So, we have taken the publicly available dataset provided by the Chicago police station for the research purpose. The dataset contains the criminal records for 2015 and more of the month of September. It was difficult to add the markers on the map according to our needs as there is very little documentation related to the map library. So, we invested our time to create our own logic to get the desired format of markers into the maps. The circle markers with more than one choice of the type of crime give more insightful details about the region which is prone to any particular crime. According to us, slicer and filtration in the mapping section are must needed to make the model functionality more dynamic and useful. So, here to achieve the features of filtration and slicer we have used the streamlit app.