Finding And Matching the Lost Victim Using AI and ML

Abstract

Abstract: In today’s virtually and technologically evolving world, technology is being used for ease of human efforts and for faster results. Appropriate security upgrade and enhancements are required to be balanced so that the users can rely and trust their personal information on these technologies. Simultaneously, persons who goes missing if found also, there’s no way to identify if it’s the actual person or not. Also, many people don’t try to help in these matters concerning about their life safety from goons and mafias because many missing cases occurs from kidnapping and abduction etc. So, in this paper we are proposing and fabricating a project that will help to resolve such type of incidences. The project must require the public support but will ensure the public safety by keeping the identity constraints safe and sound. This project is going to rotate the tedious and complex phases of finding the missing person by mere man-force. This technology is going to help the Police Force, the Cyber Cell Authorities as well the parents/relative/guardian of the missing victim. The User Interface will be easy to use and adaptive, the features and functionality will be top-notch as it will be designed in PyQt5 GUI. The main process is of matching the lostfound victims photograph by using the K-NN Algorithm (AI & ML concepts). All the gathered data will be kept safe in the PostgreSQL’s Database for future use. The algorithm will convey through calculation of data from pictures that if the person is actually matching or not. In this way the fabricated project will execute. For further details and data, a web portal will be made for the local public about the latest and recent updates about the cases.