• AKULA VIVEK KUMAR

Nearly half of the 174 children reported missing daily in India are unaccounted for. The National Crime Records Bureau (NCRB) recorded over 100,000 missing children in 2016, with over 55,000 still missing. The AI-Assisted Search for Identifying Missing Persons program helps legal and governmental authorities reunite missing people with their relatives. This revolutionary Python-based GUI program for police allows case registration and storage of vital information including photos, names, ages, and locations in a single database. A publicly available Android app lets consumers anonymously share photos and locations of questionable people. The system uses advanced machine learning algorithms to compare user-submitted photos to law enforcement photos, suggesting similarities. This method relies on a sophisticated face recognition model that encodes and stores facial features as mathematical data for accurate identification. The software notifies police and missing person guardians of matches. The seamless integration of biometric technologies with intuitive interfaces has the potential to improve search efficiency and help authorities and the public collaborate to address the growing missing person problem.

A Comprehensive Facial Recognition and Machine Learning Strategy for Missing Person Identification

"A Comprehensive Facial Recognition and Machine Learning Strategy for Missing Person Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.c656-c660, December-2024, Available :http://www.jetir.org/papers/JETIR2412276.pdf

"A Comprehensive Facial Recognition and Machine Learning Strategy for Missing Person Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppc656-c660, December-2024, Available at : http://www.jetir.org/papers/JETIR2412276.pdf