Intelligent Security System for Travelling

Computer Science

Analysis of security for traveling is a methodological approach to the identification of vulnerability while traveling. To spend time with family or friends we go to many tourist places by booking any transport but we always don’t know that is the vehicle and vehicle driver are safe for our country or not and at the same time we also don’t know the crime rate of the place where we are going to travel due to which we can face trouble and some other crimes. Sometimes we get in trouble when we are out of budget in the middle because we can’t calculate things better compared to computers. In general, if we decide to go somewhere for a tour, we first search for the destination place on Google Maps and book a vehicle, but Google Maps neither show the crime rate nor suggest the safest way to reach the destination. Some apps use dynamic pricing for cost estimation but sometimes it can create problems in price automation. In our job, we are going to use KNN(K-Nearest-Neighbors) machine-learning algorithm for both budget prediction and crime rate prediction. Using a QR code we will encapsulate the information of the vehicle and vehicle driver which will be shown to the passenger after they will scan the QR.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.