Finding missing person using image similarity and euclidean loss.

Every day, a large number of people disappear for a variety of reasons, such as advanced age, mental illness, emotional disorders, Alzheimer's disease, etc. The process to find the missing individual faints because the majority of them go unfound. We propose a solution for the same. A record of each newly filed case is kept in the application's database. Anytime someone like this is encountered, they take a photograph of them and appearance up their data with inside the database. If no matches are found, they can upload the data to the database (optionally: if known), save the current location while uploading, and alert higher authorities to the problem. The other scenario is that if a match for the missing individual is discovered, the database's information will be accessed, and police or the family will be notified. [ABSTRACT FROM AUTHOR]