SECURITY ENHANCEMENT USING NEURAL NETWORKS FOR DATA TRANSMISSION

Main Article Content

Prof. Pritesh Patil
Manasi Jain
Pranjal Jain3
Suyog Choudhary

Abstract

While selecting for the public-transport, time and forbearance square measure of a lot of concern . we will additionally say , human traveling on public-transport found their loss of your time attributable to waiting at the bus-stops. this method is providing a time period vehicle pursuit via Global-Positioning System technology to find the situation of bus and to use web by a generalpacket-radio service (GPRS) technology to show live pictures on the Google Map or web site app for pursuit location of buses anytime. we have a tendency to square measure exploitation the GPS and GPRS modules, the GPS module can find the buses via the satellite, and also the GPRS module can collect all knowledge and send it to the web site . The buses are monitored live exploitation
coordinates with this method. additionally by implementing geo-fence, user get inform once bus arrived in his/her predefined space. we have a tendency to square measure developing an Android-application which can provide the time period schedule of buses. Also, it provides fast and time period replay for inquiry, via the server. additionally just in case of any sudden activities or breakdown, the alert are sent to the system, with Bus location.

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How to Cite
Prof. Pritesh Patil, Manasi Jain, Pranjal Jain3, & Suyog Choudhary. (2021). SECURITY ENHANCEMENT USING NEURAL NETWORKS FOR DATA TRANSMISSION. JournalNX - A Multidisciplinary Peer Reviewed Journal, 13–17. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/2078

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