Sathi-vik S
Department of Artificial Intelligence and Machine Learning, Alva’s Institute of Engineering and Technology, India
Publications
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Review Article
Crime Awareness and Safety System for Travelers
Author(s): D.Chandan Lagubigi*, Kiran Raj K M, Gururagavendra Paluri, Harish Kunder, Ganeshraj S and Sathi-vik S
Travelers today face a complex environment of threats—ranging from street crime and confidence scams in urban areas to violent crime and natural disaster in rural areas. This paper presents the design, deployment, and evalu- ation of a ”Crime Awareness and Safety System for Travelers” (CAST), an end-to-end mobile system that combines real-time data fusion, ma- chine-learning–based risk prediction, and context- aware alerting to enhance traveler safety. CAST collects multi- source inputs—such as official crime reports, social media trends, geotagged incident reports, and weather data—and fuses them through a multi-layered analytics pipeline. A supervised learning model classifies incoming events by risk and probability, and a spatiotemporal risk map continuously shows hotspots and emerging threats. Users’ feedback highlighted the system’s.. Read More»

