AI Personal Guardian: An Intelligent Multi-Modal Real-Time Safety System

VISTAS, Dr.S.Rani and VISTAS, Sneha R (2026) AI Personal Guardian: An Intelligent Multi-Modal Real-Time Safety System. INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGY RESEARCH MANAGEMENT, 10 (5): 1005- 2026. pp. 1-30. ISSN 2456-9348

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Abstract

The AI Personal Guardian is an advanced intelligent safety and assistance system designed to provide real-time
protection, monitoring, and personalized support to individuals in their daily lives. Leveraging state-of-the-art
artificial intelligence technologies—including deep learning, natural language processing (NLP), computer vision,
and edge computing—this system acts as a proactive digital companion that continuously analyzes the user's
environment, behavior, and physical well-being. The system integrates seamlessly with smartphones, wearable
devices, and smart home ecosystems, monitoring for potential threats, health anomalies, and emergency
situations, alerting the user, trusted contacts, or emergency services as appropriate. Key components include a
real-time threat detection engine powered by YOLOv8 computer vision models, an NLP-based conversational
interface built on transformer architectures, a wearable health sensor integration module, and an encrypted cloud
communication backbone. The system achieves an average threat detection accuracy of 94.7% and emergency
response latency of under 2.3 seconds on standard mobile hardware. Extensive evaluation confirms that the AI
Personal Guardian significantly outperforms existing personal safety applications in both accuracy and response
time.

Item Type: Article
Uncontrolled Keywords: Artificial Intelligence, Personal Safety System, AI Personal Guardian, Real-Time Monitoring, Deep Learning, Computer Vision, Edge Computing, Health Monitoring.
Subjects: Computer Applications > Artificial Intelligence
Domains: Computer Applications
Depositing User: Mr IR Admin
Last Modified: 12 May 2026 06:28
URI: https://ir.vistas.ac.in/id/eprint/18614

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