The problem Smart patrolling solves

This research introduces the design and execution of a strategy based on past crime data and analyzes the crime rate in past areas at distinct moments.r this .data represent the mostcrime rates in particular time slot.crime reducing is becoming one of the most important social issues in enormous metropolitan areas as it affects people security issues, youngster growth and person socio-economic status.The database consist of crime rate and time slot at a particular location.The sparsity of crime in many areas complicates the application of the prediction rate area-specific modeling. We used the Machine Learning algorithm in that work.We are focusing on building an effective, fast and reliant system to make the women of India feel safe and empowered. Safety is the most wanted power for everyone in todays world. Technology is the best way to achieve it. That’s the reason to develop this project that can act as a rescue platform at the time of danger. It will unite and enable the citizens of India and the police to work towards a common problem.

Challenges we ran into

plotting the graph was a great difficulty in our project. we were not able to plot the graph in particular ranges but slowly and suddenly we overcome that. we searched a lot about it and spent more than 3 hours to fix it. we fixed it with the help of tsutils library.