In today online platforms, physical and biometric based identification is of paramount importance. Thus, to cater the high-processing needs of such applications, Artificial Intelligence (AI) based techniques have been a game-changer. These AI models works on user histories, that include user information, his photos, body and facial postures, and form matching identifications and similar community involvement recommendations. Deep Learning (DL), in particular, is used to work on facial and matching capabilities. In the context of missing persons reports filed to local authorities, these facial and recognition features are handy. Thus, in this paper, we discuss an approach, Amber Alert, in which it provides an enhanced coordination for the search of missing person by various law enforcement agencies. The approach offers advanced tools for search management and rescue operations. The collected data is visualized and reports of the missing person is generated. The implement of the application proves considerable improvements in reduction of time and space complexity.