In recent years missing person cases are a growing global concern. Manual search efforts are often slow and ineffective, especially in densely populated areas or challenging terrains. . This paper proposes "God’s Eye," an automated AI-based platform for lost person identification and retrieval. God’s Eye leverages a combination of computer vision techniques, deep learning algorithms[1], and a distributed communication network to achieve rapid and accurate missing person identification. The system integrates user-submitted missing person reports, continuously monitors video feeds, and analyzes faces in real-time for matches against a database. Upon a potential match, God's Eye initiates a geo-targeted alert system, notifying relevant authorities and volunteers[9][11] in the vicinity of the missing person's last known location. This paper details the system architecture, core functionalities, and potential benefits of God's Eye in enhancing missing person search efforts. Keywords—Missing person, Lost person identification, AI, Computer Vision, Deep learning, CCTV, Geo-targeted alert system, GPS