The integration of facial recognition technology powered by artificial intelligence to identify missing people is a significant advancement in search and rescue efforts. By using sophisticated algorithms to rapidly and accurately match facial features with recorded data, our method increases public safety and speeds up reunion attempts. We provide the highest level of accuracy in absenteeism detection via meticulous database searches. Our study aims to use AI to speed up the identification process and address the shortcomings of traditional methods. Our goal is to create a system that combines facial recognition technology with real-time video analysis in order to locate individuals who have gone missing. This can only be achieved with a constantly updated and AI-analyzed massive database of face images. keeping police enforcement and the public safe should be the first priority, therefore we're trying to find missing people as quickly as possible. Whenever a new case is reported, the system's database is updated with the relevant data. In the event that someone matches the description of a missing person, the database may be cross-referenced. Upon finding a match, all pertinent details, including the present location, are documented and sent to the appropriate authorities. The system retrieves relevant data from the database and notifies the right people, such as family or the police, when a match is found. This streamlined approach exemplifies the potential revolutionary power of facial recognition technology to address societal problems and safeguard communities. We highlight the importance of technological innovation in enhancing public safety and reuniting families by integrating facial recognition technology with AI algorithms to create a robust framework for finding missing persons.