Ai-driven Tourist Safety And Return Compliance System Using Geo-fencing And Blockchain Digital Identity

• Author(s):

  R.Sowmiya | Dian Michael A | Mohamed Shakeen J | Sathasivam K

• Keywords:

  Geo-Fencing, Blockchain Digital Identity, Transformer-Based Temporal Risk Analyzer (T-TRA), GPS Tracking, AI Risk Assessment, Smart Tourism, Incident Response.

• Abstract:

  The Burgeoning Tourism Industry Has Led To Significant Vulnerabilities In The Safety Of Tourists Once They Arrive In New Destinations. Current Systems Are Based On Manual Checkins, Basic GPS Trackers Or Reactive Helpdesks - None Of Which Offer The Real-time Intelligence Or Robust Identity Protection Required In Today’s Digital World. This Paper Describes An AI-Driven Tourist Safety And Return Compliance System That Integrates Three Complementary Technologies: Blockchain-based Digital Identity, Automated Geo-fencing, And A Bespoke Transformer-Based Temporal Risk Analyzer (T-TRA). Tourists Are Allocated With Cryptographically Secure Digital Identities That Are Rooted On An Uncompromising Blockchain Network. An Intelligent Geo-fencing System Tracks Their Movements Within Safe, Prohibited And Return Zones, With Real-time Non-compliance Alerts. The T-TRA Model Ingests Temporal GPS Data Via A Self-attention Mechanism To Define The Sequence Of Safety Levels Safe, Delayed And HighRisk. In The Event Of Danger, Automatic Warnings Are Sent To Authorities And Contacts. Testing Showed All Ten Key Test Cases Were Successful. The T-TRA Model Is Scalable For Smart Tourism At Regional And National Levels And Is A Major Advance In Tourist Safety Management From Reactive To Proactive.

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Other Details

• Paper id:

  IJSARTV12I4105224

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-30

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