WAN ZAHIN SYAFIQHAH BINTI ABDUL FATTAH Kolej Poly-Tech MARA Alor Setar
PRISM (Personal Radar & Intelligent Surveillance Monitor) is an AI-enabled safety system integrating mobile application technology with wearable devices to deliver real-time threat detection and alerts. The system employs advanced computer vision and motion analysis algorithms to identify potential dangers, such as aggressive body movements, threatening facial expressions, or unsafe proximity. Upon detecting a potential threat, PRISM immediately alerts the user through discreet vibrations, audio cues, or on-screen notifications, enabling timely situational awareness and response. Designed with a focus on vulnerable user groups—including individuals with visual impairments, women navigating public spaces alone, and parents seeking to safeguard their children—the platform prioritizes accessibility, ease of use, and rapid responsiveness. The wearable device functions as an unobtrusive safety companion, while the mobile application provides a user-friendly interface for configuration, monitoring, and reviewing incident logs. By combining AI-driven perception with multi-modal alert systems, PRISM aims to enhance personal security, reduce risk exposure, and empower users with proactive safety awareness in real-world environments. This integration of artificial intelligence, wearable technology, and mobile connectivity represents a significant advancement in assistive safety systems, offering an adaptable and scalable solution to modern urban safety challenges.