Fusion Track: Evaluating AI- Enhanced Locator with Database and API Integration

Abstract

The Fusion Track: AI-Enhanced Locator with Database and API Integration is an advanced system designed to assist in locating missing persons using artificial intelligence (AI) and machine learning techniques. This system integrates facial recognition algorithms, real-time image comparison, and database management to improve the accuracy and efficiency of identifying individuals. The project includes both a desktop application for law enforcement agencies and a mobile application for public participation, allowing crowdsourced image submissions to enhance search efforts.

Through the implementation of Python-based graphical user interfaces (GUI), machine learning models, and API integration, the system ensures high-speed processing and real-time results. Additionally, security measures such as data encryption and privacy controls safeguard sensitive information. The project also introduces a notification system via WhatsApp to alert families when a match is found.

Experimental results demonstrate the system’s ability to accurately match missing persons with database records, significantly reducing false positives. The system’s scalability and integration capabilities make it a promising solution for law enforcement agencies and community-driven search efforts.