Authors : P. S. S. Suhana; Dr. Girish Kumar D.; Shubhashree D. C.; Nida Fatima

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/aeyf9mk3

Scribd : https://tinyurl.com/4rwynpea

DOI : https://doi.org/10.38124/ijisrt/26May815

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Personal safety during urban travel remains a It remains a critical challenge despite the advances in navigation technologies. Conventional routing systems favour shortest dis-tance and travel time while ignoring contextual safety indicators such as The following topics: Crime density, environmental risks, and temporal crime patterns. This exposes users to po-tentially unsafe routes in particular. during night travel and solo commuting. SafeRoute presents an artificial intelligence personal safety solution system through this research paper. The mobile application establishes predictive riskaware navigation through its use of spatio-temporal crime analysis and community intelligence. The system displays actual crime data through a visual interface which enables users to identify patterns without delay. The system utilizes emergency response systems together with geospatial routing and crowdsourced incident data to create safety score assessments for each route. SafeRoute provides users with advance safety measures through its system which enables them to identify dangerous locations in their vicinity. Users should not depend on emergency alerts which are issued after dangerous situations have occurred. The platform uses React Native and Expo for its implementation process. The routing process can be scaled by using OpenStreetMap together with OSRM. The SafeRoute system provides experimental results which demonstrate that it decreases user time spent in high-risk areas by 23 percent compared to existing methods that use shortest-path navigation. The system maintains its operational efficiency through both quick response times and userfriendly design. Personal Safety, Risk-Aware Navigation, Pre- dictive An-alytics, Crime Mapping, AI-Based Routing, Mobile Application, Index Terms.

Keywords : Predictive Crime Analytics AI, Predictive Ana-Lytics, Safety Awareness Navigation Systems, Route Mapping By Lower Crime Rates, AI Routing, Mobile Application.

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