Machine Learning-Based Driving License Management through Wireless Ad-Hoc Networks using NFC

Abstract

Electronic Driving Record Frameworks (EDR) have been utilized in embracing essential consideration of the policing system; few additionally utilize such a framework by and by. To reducing ought and ensuring quality licensing service, a mobile ad hoc offline policing have the duty of maintaining law and order system can be applied through utilizing Near Field Communication (NFC) an innovative technique is built up to utilizations essential engineering aimed at driving license control facilities and predict their activities through classifier. For the benefit of the people's prerequisite the moveable license maintenance framework has been utilized comprehensively. The work features bringing drivers' records by the police in a solitary tap with an NFC tag to the NFC device. By way of the assistance of Near Field Communication (NFC), these succeeding plod should be embraced employing great need all together just as provisioning the license control of the drivers whenever and any place through the short-range wireless protocol. Presenting such technologies will stay away from license books and paper used for keeping up drivers' records physically. The system provides to maintain digitized information for every driver individually, easy access to the server, a database for the driver with archive data. A machine learning approach will focus for the prediction of the driver attitude basis on several parameters.